5_LC_INS_GNSS.ipynb

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   "source": [
    "# GNSS/ INS integration\n",
    "\n",
    "Fusing GNSS and IMU measurements through an EKF is a common approach to improve the accuracy of the estimated state (Position and orientation). The following Python script fully implements from scratch all the necessary steps required for this fusion process."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52f77063-5baa-4b4f-8c49-e2ebdf0aebfd",
   "metadata": {
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   },
   "source": [
    "## Importing packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "01e94648-8a36-48fb-8fcf-fc1ccd61d976",
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   "source": [
    "import numpy as np\n",
    "import math as ma\n",
    "import pandas as pd\n",
    "import scipy.linalg\n",
    "from scipy.interpolate import interp1d\n",
    "import progressbar\n",
    "import csv\n",
    "import matplotlib.pyplot as plt\n",
    "from pyproj import Transformer\n",
    "import pyproj\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "385588af-d282-439a-88ed-f3c2c5edd425",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Defining transformation matrix, Attitude representation and skew matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "626e0c92-6009-40bf-87c4-a448dc7d0e53",
   "metadata": {
    "tags": []
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   "outputs": [],
   "source": [
    "RTOD = 180.0 / np.pi\n",
    "DTOR = np.pi / 180.0\n",
    "\n",
    "#Skew Matrix\n",
    "\n",
    "def skew(a):\n",
    "\n",
    "    # Skew semetric matrix\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   a       3 by 1 vector of numbers\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   A       3 by 3 skew matrix\n",
    "\n",
    "    A = np.array([[0.0, -a[2], a[1]],\n",
    "                  [a[2], 0.0, -a[0]],\n",
    "                  [-a[1], a[0], 0.0]], dtype=object)\n",
    "    return A\n",
    "\n",
    "#Attitude representation and tranformation from Euler angles to DCM and vice-versa\n",
    "\n",
    "def RPY(eul):\n",
    "\n",
    "    # Euler angle Diff EQ\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   eul     3 by 1 set of Euler angles (phi, theta, psi) (rad)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   A       3 by 3 matrix for Euler angle integration\n",
    "\n",
    "    sin_phi = np.sin(eul[0])\n",
    "    cos_phi = np.cos(eul[0])\n",
    "    sin_theta = np.sin(eul[1])\n",
    "    cos_theta = np.cos(eul[1])\n",
    "    \n",
    "    A = np.array([[1.0, sin_phi*sin_theta, cos_phi*sin_theta],\n",
    "                  [0.0, cos_phi*cos_theta, -sin_phi*cos_theta],\n",
    "                  [0.0, sin_phi, cos_phi]])\n",
    "    A = 1.0/cos_theta*A\n",
    "    return A\n",
    "\n",
    "\n",
    "def CTM_to_Euler(C):\n",
    "\n",
    "    # Compute Euler angles from transform matrix\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   C     3 by 3 matrix C_b_n\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   Euler    Euler angle vector (phi, theta, psi) (rad)\n",
    "\n",
    "    C = C.T  # change input so these are correct\n",
    "    if(C[0,2]<-1):\n",
    "        C[0,2] = -1\n",
    "        print('less than -1')\n",
    "    if(C[0,2]>1):\n",
    "        C[0,2] = 1\n",
    "        print('more than 1')\n",
    "    phi = float(ma.atan2(C[1, 2], C[2, 2]))\n",
    "    theta = float(-ma.asin(C[0, 2]))\n",
    "    psi = float(ma.atan2(C[0, 1], C[0, 0]))\n",
    "    Euler = np.zeros((1, 3))\n",
    "    Euler = np.array([phi, theta, psi])\n",
    "    return Euler\n",
    "\n",
    "\n",
    "def Euler_to_CTM(eul):\n",
    "\n",
    "    # Create Coordinate transform matrix\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   eul     Euler angle vector (phi, theta, psi) (rad)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   C.T     Body to Nav Rotation Matrix (no transpose is opposite)\n",
    "\n",
    "    sin_phi = float(np.sin(eul[0]))\n",
    "    cos_phi = float(np.cos(eul[0]))\n",
    "    sin_theta = float(np.sin(eul[1]))\n",
    "    cos_theta = float(np.cos(eul[1]))\n",
    "    sin_psi = float(np.sin(eul[2]))\n",
    "    cos_psi = float(np.cos(eul[2]))\n",
    "\n",
    "    C = np.zeros((3, 3))\n",
    "    C[0, 0] = cos_theta * cos_psi\n",
    "    C[0, 1] = cos_theta * sin_psi\n",
    "    C[0, 2] = -sin_theta\n",
    "    C[1, 0] = -cos_phi * sin_psi + sin_phi * sin_theta * cos_psi\n",
    "    C[1, 1] = cos_phi * cos_psi + sin_phi * sin_theta * sin_psi\n",
    "    C[1, 2] = sin_phi * cos_theta\n",
    "    C[2, 0] = sin_phi * sin_psi + cos_phi * sin_theta * cos_psi\n",
    "    C[2, 1] = -sin_phi * cos_psi + cos_phi * sin_theta * sin_psi\n",
    "    C[2, 2] = cos_phi * cos_theta\n",
    "    return C.T  # body to NED\n",
    "\n",
    "#Tranformation between the reference frames\n",
    "\n",
    "def LLA_to_NED(lat, long, alt, x_ECEF, x_ref):\n",
    "\n",
    "    # LLA to NED using reference\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   lat     Lattitude (rad)\n",
    "    #   long    Longitude (rad)\n",
    "    #   alt     altitude (m)\n",
    "    #   x_ECEF  Position of interest in ECEF frame (m)\n",
    "    #   x_ref   Reference ECEF position for NED (m)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   x_NED   Position in NED frame based on x_ref\n",
    "\n",
    "    R_NED_to_ECEF = np.array([[-np.sin(lat)*np.cos(long),\n",
    "                               -np.sin(long),\n",
    "                               -np.cos(lat)*np.cos(long)],\n",
    "                              [-np.sin(lat)*np.sin(long),\n",
    "                               np.cos(long),\n",
    "                               -np.cos(lat)*np.sin(long)],\n",
    "                              [np.cos(lat),\n",
    "                               0.0,\n",
    "                               -np.sin(lat)]])\n",
    "    residual = np.array([[float(x_ECEF[0])-float(x_ref[0])],\n",
    "                         [float(x_ECEF[1])-float(x_ref[1])],\n",
    "                         [float(x_ECEF[2])-float(x_ref[2])]])\n",
    "    x_NED = np.matmul(R_NED_to_ECEF.T, residual)\n",
    "    return(x_NED)\n",
    "\n",
    "\n",
    "def ECEF_to_LLA(r_eb_e):\n",
    "\n",
    "    # ECEF to LLA frame\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   r_eb_e  ECEF frame coordinate (m)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   lat     Lattitude (rad)\n",
    "    #   long    Longitude (rad)\n",
    "    #   alt     altitude (m)\n",
    "\n",
    "    f = 1.0/298.257223563\n",
    "    R0 = 6378137.0\n",
    "    e = np.sqrt(f*(2.0-f))\n",
    "    R_P = R0*(1.0-f)\n",
    "    long = ma.atan2(r_eb_e[1], r_eb_e[0])\n",
    "    p = np.sqrt(r_eb_e[0]**2+r_eb_e[1]**2)\n",
    "    E = np.sqrt(R0**2-R_P**2)\n",
    "    F = 54.0*(R_P*r_eb_e[2])**2\n",
    "    G = p**2+(1.0-e**2)*r_eb_e[2]**2-(e*E)**2\n",
    "    c = e**4*F*p**2/(G**3)\n",
    "    s = (1.0+c+np.sqrt(c**2+2*c))**(1.0/3.0)\n",
    "    P = (F/(3*G**2))/((s+1.0/s+1.0)**2)\n",
    "    Q = np.sqrt(1.0+2.0*e**4*P)\n",
    "    k1 = (-P*e**2*p)/(1.0+Q)\n",
    "    k2 = 0.5*R0**2*(1.0+1.0/Q)\n",
    "    k3 = -P*(1.0-e**2)*(r_eb_e[2]**2)/(Q*(1.0+Q))\n",
    "    k4 = -0.5*P*p**2\n",
    "    k5 = p-e**2*(k1+np.sqrt(k2+k3+k4))\n",
    "    U = np.sqrt(k5**2+r_eb_e[2]**2)\n",
    "    V = np.sqrt(k5**2+(1.0-e**2)*r_eb_e[2]**2)\n",
    "    alt = U*(1.0-R_P**2/(R0*V))\n",
    "    z0 = (R_P**2*r_eb_e[2])/(R0*V)\n",
    "    ep = R0*e/R_P\n",
    "    lat = ma.atan((r_eb_e[2]+z0*ep**2)/p)\n",
    "    return lat, long, alt\n",
    "\n",
    "\n",
    "def LLA_to_ECEF(lat, long, alt):\n",
    "\n",
    "    # LLA to ECEF frame\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   lat     Lattitude (rad)\n",
    "    #   long    Longitude (rad)\n",
    "    #   alt     altitude (m)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   x   ECEF x position (m)\n",
    "    #   y   ECEF y position (m)\n",
    "    #   z   ECEF z position (m)\n",
    "\n",
    "    R0 = 6378137.0  # WGS84 Equatorial radius in meters\n",
    "    f = 1/298.257223563\n",
    "    e = np.sqrt(f*(2.0 - f))  # WGS84 eccentricity\n",
    "    # calculate transverse radius of curvature (2.105)\n",
    "    R_E = R0 / np.sqrt(1.0-(e*np.sin(lat))**2)\n",
    "    # Convert position using (2.112)\n",
    "    cos_lat = np.cos(lat)\n",
    "    sin_lat = np.sin(lat)\n",
    "    cos_long = np.cos(long)\n",
    "    sin_long = np.sin(long)\n",
    "    r_eb_e = np.array([[(R_E + alt) * cos_lat * cos_long],\n",
    "                       [(R_E + alt) * cos_lat * sin_long],\n",
    "                       [((1.0 - e**2) * R_E + alt) * sin_lat]])   #convert llh to x/y/z ECEF fram\n",
    "    x = r_eb_e[0]\n",
    "    y = r_eb_e[1]\n",
    "    z = r_eb_e[2]\n",
    "    return x, y, z\n",
    "\n",
    "def ECEF_to_NED(x_ecef, latR, longR, alt):\n",
    "\n",
    "    # ECEF to NED frame (Using differnt method)\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   x_ecef  ECEF position of interest (m)\n",
    "    #   lat     Lattitude (rad)\n",
    "    #   long    Longitude (rad)\n",
    "    #   alt     altitude (m)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   NED     NED position based on LLA coordinates (m)\n",
    "\n",
    "    x, y, z = LLA_to_ECEF(latR, longR, alt)\n",
    "    ref_e = np.array([x, y, z])\n",
    "    delta_E = np.zeros((3, 1))\n",
    "    delta_E[0] = x_ecef[0] - ref_e[0]\n",
    "    delta_E[1] = x_ecef[1] - ref_e[1]\n",
    "    delta_E[2] = x_ecef[2] - ref_e[2]\n",
    "    ENU = np.zeros((3, 1))\n",
    "    ENU[0] = -np.sin(longR)*delta_E[0] + np.cos(longR)*delta_E[1]\n",
    "    ENU[1] = -np.sin(latR)*np.cos(longR)*delta_E[0] - np.sin(latR)*np.sin(longR)*delta_E[1] + np.cos(latR)*delta_E[2]\n",
    "    ENU[2] = -np.cos(latR)*np.cos(longR)*delta_E[0] + np.cos(latR)*np.sin(longR)*delta_E[1] + np.sin(latR)*delta_E[2]\n",
    "    C = np.zeros((3, 3))\n",
    "    C[0, 1] = 1.0   # ENU to NED Rotation Matrix\n",
    "    C[1, 0] = 1.0\n",
    "    C[2, 2] = -1.0\n",
    "    NED = np.zeros((3, 1))\n",
    "    NED = C@ENU\n",
    "    return NED\n",
    "\n",
    "def ECI_to_ECEF(xp, yp, Omega, i):\n",
    "\n",
    "    # ECI to ECEF frame\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   xp\n",
    "    #   yp\n",
    "    #   Omega\n",
    "    #   i\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   r_eb_e  ECEF frame coordinate (m)\n",
    "\n",
    "    x = xp*ma.cos(Omega) - yp*ma.cos(i)*ma.sin(Omega)\n",
    "    y = xp*ma.sin(Omega) + yp*ma.cos(i)*ma.cos(Omega)\n",
    "    z = yp*ma.sin(i)\n",
    "    r_eb_e = np.array([x, y, z])\n",
    "    return r_eb_e"
   ]
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   "cell_type": "markdown",
   "id": "2a01e279-491f-45eb-80b7-46a064d445e9",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Import and Read GNSS & IMU measurements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d70e7918-7ab7-4612-8ad0-7bc2a3c2575f",
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   "source": [
    "#Defining some constants\n",
    "\n",
    "DTOR = np.pi / 180.0  # degrees to radians\n",
    "f = 1.0/298.257223563  #Wgs84 Earth flatenning factor\n",
    "earth_rad = 6378137.0  # Earth's radius (m)\n",
    "omega_ie = 7.2921151467E-05  # Earth ROT rate (rad/s)\n",
    "mu = 3.986005E14  # m^3/s^2    mass of earth\n",
    "\n",
    "# Read GNSS & IMU data\n",
    "\n",
    "def get_PPK_GNSS_data(folder):\n",
    "    # col 0: Week Number\n",
    "    # col 1: Time\n",
    "    # col 2: lat [ECEF]\n",
    "    # col 3\" lon [ECEF]\n",
    "    # col 4: height [ECEF]\n",
    "    # col 5-14: RTK Quality and Correlation Data\n",
    "    # col 15:  North x_dot (m/s)\n",
    "    # col 16:  East x_dot (m/s)\n",
    "    # col 17:  Down x_dot (m/s)\n",
    "    Table_data = pd.read_table(folder+'/5905C00224202112030934-5905C00224202112031022.pos',\n",
    "                               sep='\\s+',header=None,comment='%')\n",
    "    gps_data = Table_data.iloc[:,[1,2,3,4,5, 6, 7, 15,16,17, 18, 19, 20]]\n",
    "    gps_data.columns = ['time (sec)', 'Lat (rad)', 'Long (rad)', 'Alt (m)', 'sdn(m)', 'sde(m)', 'sdu(m)', 'v_N (m/s)', 'v_E (m/s)', 'v_D (m/s)', 'sdvn', 'sdve', 'sdvu']\n",
    "    \n",
    "    return gps_data\n",
    "\n",
    "\n",
    "def get_IMU_data(folder):\n",
    "    # col 0: time (sec)\n",
    "    # col 4: meas_omega_ib_b P (rad/s)\n",
    "    # col 5: meas_omega_ib_b Q (rad/s)\n",
    "    # col 6: meas_omega_ib_b R (rad/s)\n",
    "    # col 7: meas_f_ib_b X (m/s^2)\n",
    "    # col 8: meas_f_ib_b Y (m/s^2)\n",
    "    # col 9: meas_f_ib_b Z (m/s^2)\n",
    "    IMU_data = pd.read_csv(folder+'/IMU_Data.csv',\n",
    "                           sep=';')\n",
    "    return IMU_data"
   ]
  },
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       "      <th>time (sec)</th>\n",
       "      <th>Lat (rad)</th>\n",
       "      <th>Long (rad)</th>\n",
       "      <th>Alt (m)</th>\n",
       "      <th>sdn(m)</th>\n",
       "      <th>sde(m)</th>\n",
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       "</div>"
      ],
      "text/plain": [
       "   time (sec)  Lat (rad)  Long (rad)   Alt (m)  sdn(m)  sde(m)  sdu(m)  \\\n",
       "0    466543.4 -21.241363   14.876887  901.7170       4       3  4.0148   \n",
       "1    466543.6 -21.241365   14.876892  901.7332       4       3  3.7037   \n",
       "2    466544.2 -21.241366   14.876893  901.7352       4       3  2.9174   \n",
       "3    466544.4 -21.241366   14.876893  901.7354       4       3  2.6713   \n",
       "4    466544.6 -21.241366   14.876893  901.7355       4       3  2.4379   \n",
       "\n",
       "   v_N (m/s)  v_E (m/s)  v_D (m/s)     sdvn     sdve      sdvu  \n",
       "0   -1.03204    1.91748    0.08522  2.26644  3.64198  10.23567  \n",
       "1   -0.33353    0.53270    0.02729  2.10978  3.38555   9.78956  \n",
       "2    0.01021   -0.04879    0.00073  1.38262  2.62462   8.48690  \n",
       "3    0.02707   -0.00883    0.00085  1.31835  2.49828   8.06588  \n",
       "4   -0.00599    0.04072    0.00218  1.25539  2.37423   7.65196  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#test\n",
    "folder='C:/Users/bourriz/GNSS_INS_Processing/UIS_PosPac_HyspexNav_processing/Result/Position'\n",
    "get_PPK_GNSS_data(folder).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33892bd1-a2c5-4a3d-9a80-c1df3a380896",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Organize and synchronize the GNSS and IMU data into a single file "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7d259c28-de27-4cf5-81f2-3b80be93d1ba",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_all_INS_GNSS_data(flag):\n",
    "    \n",
    "    #Defining the mounting\n",
    "    \n",
    "    mounting = np.array([[-1, 0, 0], [0, -1, 0], [0, 0, 1]]) \n",
    "    mounting_g = np.array([[1, 0, 0], [0, -1, 0], [0, 0, -1]])\n",
    "    \n",
    "\n",
    "    GNSS_LLA_VEL_data = get_PPK_GNSS_data(folder)\n",
    "\n",
    "    IMU_data = get_IMU_data(folder)\n",
    "    \n",
    "    GNSS_Data_count = len(GNSS_LLA_VEL_data)\n",
    "    \n",
    "    ins_Data_count = len(IMU_data)\n",
    "    Profile_Data_Count = np.max([GNSS_Data_count, ins_Data_count])\n",
    "\n",
    "    # Set up and fill vectors/matrices\n",
    "    meas_GNSS_pos_lla = np.zeros((GNSS_Data_count, 3))\n",
    "    meas_GNSS_vel_ned = np.zeros((GNSS_Data_count, 3))\n",
    "    meas_omega_ib_b = np.zeros((ins_Data_count, 3))\n",
    "    meas_omega_r = np.zeros((ins_Data_count))\n",
    "    meas_omega_p = np.zeros((ins_Data_count))\n",
    "    meas_omega_y = np.zeros((ins_Data_count))\n",
    "    meas_f_ib_b = np.zeros((ins_Data_count, 3))\n",
    "    in_profile_data = np.zeros((Profile_Data_Count, 16))  # Input data array\n",
    "\n",
    "    time_series = IMU_data.loc[:]['Time'].to_numpy()\n",
    "    meas_omega_r[:] = IMU_data.loc[:]['roll'].to_numpy()  # Meas roll rate\n",
    "    meas_omega_p[:] = IMU_data.loc[:]['pitch'].to_numpy()  # Meas pitch rate\n",
    "    meas_omega_y[:] = IMU_data.loc[:]['heading'].to_numpy()  # Meas yaw rate\n",
    "\n",
    "    \n",
    "    meas_omega_ib_b[:, 0] = IMU_data.loc[:]['Xang'].to_numpy()  # Meas roll rate\n",
    "    meas_omega_ib_b[:, 1] = IMU_data.loc[:]['Yang'].to_numpy()  # Meas pitch rate\n",
    "    meas_omega_ib_b[:, 2] = IMU_data.loc[:]['Zang'].to_numpy()  # Meas yaw rate\n",
    "    meas_f_ib_b[:, 0] = IMU_data.loc[:]['Xacc'].to_numpy()  # Measured X accel in body axis\n",
    "    meas_f_ib_b[:, 1] = IMU_data.loc[:]['Yacc'].to_numpy()  # Measured Y accel\n",
    "    meas_f_ib_b[:, 2] = IMU_data.loc[:]['Zacc'].to_numpy()  # Measured Z accel\n",
    "\n",
    "    meas_f_ib_b = meas_f_ib_b @ mounting                 # change the orientation according to the mounting of the IMU (180,0,90)\n",
    "    meas_omega_ib_b = meas_omega_ib_b @ mounting_g\n",
    "\n",
    "\n",
    "    meas_GNSS_time = GNSS_LLA_VEL_data.loc[:]['time (sec)'].to_numpy()\n",
    "\n",
    "    meas_GNSS_pos_lla[:, 0] = GNSS_LLA_VEL_data.loc[:]['Lat (rad)'].to_numpy()\n",
    "    meas_GNSS_pos_lla[:, 1] = GNSS_LLA_VEL_data.loc[:]['Long (rad)'].to_numpy()\n",
    "    meas_GNSS_pos_lla[:, 2] = GNSS_LLA_VEL_data.loc[:]['Alt (m)'].to_numpy()\n",
    "\n",
    "    meas_GNSS_vel_ned[:, 0] = GNSS_LLA_VEL_data.loc[:]['v_N (m/s)'].to_numpy()\n",
    "    meas_GNSS_vel_ned[:, 1] = GNSS_LLA_VEL_data.loc[:]['v_E (m/s)'].to_numpy()\n",
    "    meas_GNSS_vel_ned[:, 2] = GNSS_LLA_VEL_data.loc[:]['v_D (m/s)'].to_numpy()\n",
    "\n",
    "   \n",
    "    #Estimate the gyro and acc biais from the 1st measurements\n",
    "    \n",
    "    GNSS_Time_index = 0\n",
    "    INS_Time_index = 0\n",
    "    index = 0\n",
    "    InitP_acc_bias = np.array((0.0,0,0))\n",
    "    InitP_acc_b_sigma = 0\n",
    "    InitP_gyro_bias = np.array((0.0,0,0))\n",
    "    InitP_gyro_b_sigma = 0\n",
    "    i=0\n",
    "    StartTime = np.max([meas_GNSS_time[0], time_series[0]])\n",
    "    StartTime = 467000\n",
    "\n",
    "    while(time_series[INS_Time_index] < StartTime) :\n",
    "        InitP_acc_bias += meas_f_ib_b[INS_Time_index]\n",
    "        InitP_acc_b_sigma += ma.sqrt((meas_f_ib_b[INS_Time_index] - InitP_acc_bias)@(meas_f_ib_b[INS_Time_index] - InitP_acc_bias).T)/3\n",
    "        InitP_gyro_bias += meas_omega_ib_b[INS_Time_index]\n",
    "        InitP_gyro_b_sigma += ma.sqrt((meas_omega_ib_b[INS_Time_index] - InitP_gyro_bias)@(meas_omega_ib_b[INS_Time_index] - InitP_gyro_bias).T)/3\n",
    "        \n",
    "        INS_Time_index += 1\n",
    "\n",
    "    GNSS_POS_Sigma = 0.0\n",
    "    GNSS_POS_Sigma = GNSS_LLA_VEL_data.loc[GNSS_Time_index+1]['sdn(m)'] **2 + GNSS_LLA_VEL_data.loc[GNSS_Time_index]['sde(m)'] **2 + GNSS_LLA_VEL_data.loc[GNSS_Time_index]['sdu(m)'] **2\n",
    "    GNSS_POS_Sigma = ma.sqrt(GNSS_POS_Sigma)\n",
    "    GNSS_VEL_Sigma = GNSS_LLA_VEL_data.loc[GNSS_Time_index]['sdvn'] **2 + GNSS_LLA_VEL_data.loc[GNSS_Time_index]['sdve'] **2 + GNSS_LLA_VEL_data.loc[GNSS_Time_index]['sdvu'] **2\n",
    "    GNSS_VEL_Sigma = ma.sqrt(GNSS_VEL_Sigma)\n",
    "\n",
    "    InitP_acc_bias /= INS_Time_index\n",
    "    InitP_gyro_bias /= INS_Time_index\n",
    "    InitP_acc_b_sigma /= INS_Time_index\n",
    "    InitP_gyro_b_sigma /= INS_Time_index\n",
    "\n",
    "    InitP =  np.array((GNSS_POS_Sigma, GNSS_VEL_Sigma , InitP_acc_bias, InitP_acc_b_sigma , InitP_gyro_bias, InitP_gyro_b_sigma )) \n",
    "    \n",
    "    # Gravity accel in NED frame\n",
    "    dum1 = (1.0 + 0.0019311853*(np.sin(meas_GNSS_pos_lla[0, 0]))**2.0)\n",
    "    g0 = 9.7803253359/np.sqrt(1-f*(2.0-f)*(np.sin(meas_GNSS_pos_lla[0, 0]))**2.0)*dum1   #WGS84 gravity value for different lats\n",
    "    dum2 = 3.0*(meas_GNSS_pos_lla[0, 2]/earth_rad)**2.0                                   # 3 x (altitude/radius)^2\n",
    "    ch = 1.0-2.0*(1.0+f+(earth_rad**3.0*(1-f)*omega_ie**2.0)/(mu))*(meas_GNSS_pos_lla[0, 2]/earth_rad)+dum2 # altitude factor\n",
    "\n",
    "    while(meas_GNSS_time[GNSS_Time_index] < StartTime) :\n",
    "        GNSS_Time_index += 1\n",
    "\n",
    "    while(time_series[INS_Time_index] < StartTime) :\n",
    "        INS_Time_index += 1\n",
    "\n",
    "    #Time is synced now\n",
    "    while (GNSS_Time_index < GNSS_Data_count) and (INS_Time_index < ins_Data_count):\n",
    " \n",
    "           \n",
    "        in_profile_data[index][0] = time_series[INS_Time_index]\n",
    "        \n",
    "        rpy = mounting@np.array([meas_omega_r[INS_Time_index]*DTOR, meas_omega_p[INS_Time_index]*DTOR, meas_omega_y[INS_Time_index]*DTOR])\n",
    "        g_f_ctm =Euler_to_CTM(np.array([rpy[0], rpy[1], rpy[2]]))\n",
    "        g_f_b = g_f_ctm.T@np.array([0,0,ch*g0])\n",
    "\n",
    "        in_profile_data[index][1] = meas_GNSS_pos_lla[GNSS_Time_index, 0]*DTOR   #Lat/Lon were in degrees that are to be converted to radians \n",
    "        in_profile_data[index][2] = meas_GNSS_pos_lla[GNSS_Time_index, 1]*DTOR\n",
    "        in_profile_data[index][3] = meas_GNSS_pos_lla[GNSS_Time_index, 2]\n",
    "        in_profile_data[index][4] = meas_GNSS_vel_ned[GNSS_Time_index, 0]\n",
    "        in_profile_data[index][5] = meas_GNSS_vel_ned[GNSS_Time_index, 1]\n",
    "        in_profile_data[index][6] = meas_GNSS_vel_ned[GNSS_Time_index, 2]\n",
    "        in_profile_data[index][7] = meas_omega_ib_b[INS_Time_index, 0]\n",
    "        in_profile_data[index][8] = meas_omega_ib_b[INS_Time_index, 1]\n",
    "        in_profile_data[index][9] = meas_omega_ib_b[INS_Time_index, 2]\n",
    "        in_profile_data[index][10] = meas_f_ib_b[INS_Time_index, 0]+g_f_b[0]\n",
    "        in_profile_data[index][11] = meas_f_ib_b[INS_Time_index, 1]+g_f_b[1]\n",
    "        in_profile_data[index][12] = meas_f_ib_b[INS_Time_index, 2]+g_f_b[2]\n",
    "        in_profile_data[index][13:16] = rpy\n",
    "        \n",
    "        if (meas_GNSS_time[GNSS_Time_index] < time_series[INS_Time_index]):\n",
    "            GNSS_Time_index += 1\n",
    "        index += 1\n",
    "        INS_Time_index += 1\n",
    "        if time_series[INS_Time_index] > 469440:\n",
    "            break;\n",
    "    \n",
    "    if flag is True:\n",
    "        # Plot data\n",
    "        fig, a = plt.subplots(2, figsize=(10, 10),sharex=True)\n",
    "        a[0].plot(time_series, meas_omega_ib_b[:, 0], 'b',\n",
    "                  label='Meas. Roll Rate')\n",
    "        a[0].plot(time_series, meas_omega_ib_b[:, 1], 'k',\n",
    "                  label='Meas. Pitch Rate')\n",
    "        a[0].plot(time_series, meas_omega_ib_b[:, 2], 'r',\n",
    "                  label='Meas. Yaw Rate')\n",
    "        a[0].grid()\n",
    "        a[0].set_ylabel('Angular Velocity (rad/s)')\n",
    "        a[0].legend()\n",
    "\n",
    "        a[1].plot(time_series, meas_f_ib_b[:, 0], 'b',\n",
    "                  label='Meas. X accel')\n",
    "        a[1].plot(time_series, meas_f_ib_b[:, 1], 'k',\n",
    "                  label='Meas. Y accel')\n",
    "        a[1].plot(time_series, meas_f_ib_b[:, 2], 'r',\n",
    "                  label='Meas. Z accel')\n",
    "        a[1].grid()\n",
    "        a[1].set_ylabel('Acceleration (m/s^2)')\n",
    "        a[1].legend()\n",
    "\n",
    "        fig.suptitle('IMU measurements')\n",
    "        in_profile_data[index][13:16] = rpy\n",
    "        plt.show()\n",
    "    return index, in_profile_data, InitP"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecdaf8da-fe1b-4769-ab20-f4863f024e47",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Define the Mechanization Equations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "784c3d87-abc8-4dd5-a27d-b83d74002668",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "RTOD = 180.0 / np.pi\n",
    "DTOR = np.pi / 180.0\n",
    "a = 6378137.0  # Earth's radius (m)\n",
    "f = 1.0/298.257223563  #Wgs84 Earth flatenning factor\n",
    "e = np.sqrt(f*(2.0-f))    #Eccentricity\n",
    "mu = 3.986005E14  # m^3/s^2    mass of earth\n",
    "omega_ie = 7.2921151467E-05  # Earth ROT rate (rad/s)\n",
    "\n",
    "\n",
    "def INS_Equations_NED(tor_i, old_latR, old_longR, old_alt, old_v_eb_n,\n",
    "                      old_C_b_n, meas_omega_ib_b, meas_f_ib_b, meas_heading_n):\n",
    "\n",
    "    # INS update Equations from k-1 to k\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   tor_i               Delta T (In this instant, INS Hz Rate) (sec)\n",
    "    #   old_latR            Previous estimate Latitude (rad)\n",
    "    #   old_longR           Previous estimate Longtiude (rad)\n",
    "    #   old_alt             Previous estimate altitude (m)\n",
    "    #   old_v_eb_n          Previous estimate velocity (m/sec)\n",
    "    #   old_C_b_n           Previous estimate DCM Matrix\n",
    "    #   meas_omega_ib_b     Previous body angular velocity (rad/sec)\n",
    "    #   meas_f_ib_b         Previous body acceleration (m/sec^2)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   new_C_b_n       INS estimate DCM Matrix\n",
    "    #   new_v_eb_n      INS estimate velocity (m/sec)\n",
    "    #   new_latR        INS estimate Latitude (rad)\n",
    "    #   new_longR       INS estimate Longtiude (rad)\n",
    "    #   new_alt         INS estimate altitude (m)\n",
    "\n",
    "    # Gravity accel in NED frame\n",
    "    dum1 = (1.0 + 0.0019311853*(np.sin(old_latR))**2.0)\n",
    "    g0 = 9.7803253359/np.sqrt(1-f*(2.0-f)*(np.sin(old_latR))**2.0)*dum1   #WGS84 gravity value for different lats\n",
    "    dum2 = 3.0*(old_alt/a)**2.0                                   # 3 x (altitude/radius)^2\n",
    "    ch = 1.0-2.0*(1.0+f+(a**3.0*(1-f)*omega_ie**2.0)/(mu))*(old_alt/a)+dum2 # altitude factor\n",
    "    g_n = np.array([0.0, 0.0, ch*g0])\n",
    "\n",
    "    # Earth rotation rate expressed in navigation frame\n",
    "    omega_ie_n = omega_ie*np.array([np.cos(old_latR), 0.0, -np.sin(old_latR)]) # Earth rotation rate for the lats\n",
    "\n",
    "    # Transport Rate\n",
    "    RN = a*(1.0-e**2)/(1.0-e**2.0*(np.sin(old_latR))**2.0)**1.5\n",
    "    RE = a/np.sqrt(1.0-e**2.0*(np.sin(old_latR))**2.0)\n",
    "    dum4 = float(old_v_eb_n[1]/(RE+old_alt))\n",
    "    dum5 = float(-old_v_eb_n[0]/(RN+old_alt))\n",
    "    dum6 = float(-old_v_eb_n[1]*np.tan(old_latR)/(RE+old_alt))\n",
    "    omega_en_n = np.array([dum4, dum5, dum6])\n",
    "\n",
    "    # Attitude Update\n",
    "    omega_in_b = old_C_b_n.T@(omega_ie_n + omega_en_n)  #Earth rotation and transport rate to be converted to body axis\n",
    "    meas_omega_nb_b = meas_omega_ib_b - omega_in_b      #Remove these errors from measurement\n",
    "    eulk_1 = CTM_to_Euler(old_C_b_n)              #Convert CTM to euler angles\n",
    "    Ak_1 = RPY(eulk_1)                            #Euler angles to Diff for Integration (uses only Roll and Pitch)\n",
    "    eulk = eulk_1 + tor_i * Ak_1 @ meas_omega_nb_b      #update the measurement based on the integration of rates\n",
    "    Vertival_Vel = (old_v_eb_n[0]**2+old_v_eb_n[1]**2)/10\n",
    "    Vertival_Vel = 1 if Vertival_Vel < 1 else 200 #Vertival_Vel\n",
    "    #Vertival_Vel = 200\n",
    "    eulk[2] = eulk[2] * (1/Vertival_Vel) + (1-1/Vertival_Vel)*meas_heading_n\n",
    "    new_C_b_n = Euler_to_CTM(eulk)                #Convert back the euler angles to the CTM (Cordinate transform matrix)\n",
    "\n",
    "    # Velocity Update\n",
    "    meas_f_ib_n = old_C_b_n@meas_f_ib_b\n",
    "    dum3 = 2.0*omega_ie_n-omega_en_n\n",
    "    a_eb_n = meas_f_ib_n + g_n - skew(dum3)@old_v_eb_n\n",
    "    new_v_eb_n = old_v_eb_n + tor_i*a_eb_n #Velocity update \n",
    "    new_v_eb_n[2] = old_v_eb_n[2] # do not update upward velocity through transformation\n",
    "\n",
    "    # Position Update\n",
    "    old_P_lla = np.array([old_latR, old_longR, old_alt])\n",
    "    T = np.array([[1.0/(RN+old_alt), 0.0, 0.0],\n",
    "                  [0.0, 1.0/((RE+old_alt)*np.cos(old_latR)), 0.0],\n",
    "                  [0.0, 0.0, -1.0]])\n",
    "    new_P_lla = old_P_lla + tor_i*T@old_v_eb_n\n",
    "    new_latR = new_P_lla[0]\n",
    "    new_longR = new_P_lla[1]\n",
    "    new_alt = old_alt\n",
    "    return new_C_b_n, new_v_eb_n, new_latR, new_longR, new_alt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a1d15ec-dde4-4ead-851e-c0ae0f70439e",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Define the EKF matrices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7b410376-5662-4436-8fa7-15165f5c5cdc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def Get_dem_EKF_matrices(KF_param, tor_s, old_latR, old_alt, old_v_eb_n,\n",
    "                         old_C_b_n, meas_f_ib_b):\n",
    "\n",
    "    # Retreive EKF Matrices for current epoch k\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   KF_Param        Kalman Filter parameters\n",
    "    #   tor_s           Delta T (In this instant, INS Hz Rate) (sec)\n",
    "    #   old_latR        Previous estimate Latitude (rad)\n",
    "    #   old_alt         Previous estimate altitude (m)\n",
    "    #   old_v_eb_n      Previous estimate velocity (m/sec)\n",
    "    #   old_C_b_n       Previous estimate DCM Matrix\n",
    "    #   meas_f_ib_b     Previous body acceleration (m/sec^2)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   F       Discretized linearized INS error equations\n",
    "    #   Q       Noise Covariance Matrix\n",
    "    #   H       Measurement Matrix\n",
    "    #   R       Measurement Covariance Matrix\n",
    "\n",
    "    # Obtain the EKF Matrices based on previous state\n",
    "    A = np.zeros((15, 15))          #State (Transition) Matrix [Continuous]\n",
    "    F = np.zeros((15, 15))          #State (Transition) Matrix [Discrete]\n",
    "    M = np.zeros((15, 12))\n",
    "    Q = np.zeros((15, 15))          #Noise Covarience Matrix\n",
    "    U = np.zeros((12, 12))\n",
    "    H = np.zeros((6, 15))           #Measurement matrix \n",
    "    H[0:6, 0:6] = np.identity(6)    #Usually it is identity matrix if all states are to be considered\n",
    "    R = np.zeros((6, 6))\n",
    "\n",
    "    # Earth rotation rate expressed in navigation frame\n",
    "    omega_ie_n = omega_ie*np.array([np.cos(old_latR), 0.0, -np.sin(old_latR)])\n",
    "\n",
    "    # Transport Rate\n",
    "    RN = a*(1.0-e**2)/(1.0-e**2.0*(np.sin(old_latR))**2.0)**1.5\n",
    "    RE = a/np.sqrt(1.0-e**2.0*(np.sin(old_latR))**2.0)\n",
    "    dum4 = float(old_v_eb_n[1]/(RE+old_alt))\n",
    "    dum5 = float(-old_v_eb_n[0]/(RN+old_alt))\n",
    "    dum6 = float(-old_v_eb_n[1]*np.tan(old_latR)/(RE+old_alt))\n",
    "    omega_en_n = np.array([dum4, dum5, dum6])\n",
    "\n",
    "    # Gravity accel in NED frame\n",
    "    dum1 = (1.0 + 0.0019311853*(np.sin(old_latR))**2.0)\n",
    "    g0 = 9.7803253359/np.sqrt(1-f*(2.0-f)*(np.sin(old_latR))**2.0)*dum1\n",
    "    dum2 = 3.0*(old_alt/a)**2.0\n",
    "    ch = 1.0-2.0*(1.0+f+(a**3.0*(1-f)*omega_ie**2.0)/(mu))*(old_alt/a)+dum2\n",
    "    g_n = np.array([0.0, 0.0, ch*g0])\n",
    "\n",
    "    # State Matrix (Continuous)\n",
    "    A[0:3, 0:3] = -skew(omega_en_n)\n",
    "    A[3:6, 0:3] = g_n[2]/a*np.array([[-1.0, 0.0, 0.0],\n",
    "                                     [0.0, -1.0, 0.0],\n",
    "                                     [0.0, 0.0, 2.0]])\n",
    "    A[0:3, 3:6] = np.identity(3)\n",
    "    A[3:6, 3:6] = -skew(2.0*omega_ie_n+omega_en_n)\n",
    "    A[3:6, 6:9] = skew(old_C_b_n@meas_f_ib_b)\n",
    "    A[6:9, 6:9] = -skew(omega_ie_n + omega_en_n)\n",
    "    A[3:6, 9:12] = old_C_b_n\n",
    "    A[9:12, 9:12] = -1.0/KF_param.accel_TC_bias*np.identity(3)\n",
    "    A[6:9, 12:15] = -old_C_b_n\n",
    "    A[12:15, 12:15] = -1.0/KF_param.gyro_TC_bias*np.identity(3)\n",
    "    F = scipy.linalg.expm(A*tor_s)  # Discretize A matrix\n",
    "\n",
    "    # Noise Covariance Matrix\n",
    "    M[3:6, 0:3] = old_C_b_n\n",
    "    M[6:9, 3:6] = -old_C_b_n\n",
    "    M[9:15, 6:12] = np.identity(6)\n",
    "\n",
    "    sigma_mu_a2 = 2.0*(KF_param.accel_markov_bias_sigma*g_n[2])**2.0/KF_param.accel_TC_bias\n",
    "    sigma_mu_g2 = 2.0*(KF_param.gyro_markov_bias_sigma)**2.0/KF_param.gyro_TC_bias\n",
    "    U[0:3, 0:3] = np.identity(3)*(KF_param.accel_meas_sigma*g_n[2])**2.0\n",
    "    U[3:6, 3:6] = np.identity(3)*(KF_param.gyro_meas_sigma)**2.0\n",
    "    U[6:9, 6:9] = np.identity(3)*sigma_mu_a2\n",
    "    U[9:12, 9:12] = np.identity(3)*sigma_mu_g2\n",
    "\n",
    "    Q = (np.identity(15)+tor_s*A)@(tor_s*M@U@M.T)\n",
    "\n",
    "\n",
    "    # GNSS measurement covariance matrix\n",
    "    R[0:3, 0:3] = np.identity(3)*KF_param.GNSS_NED_pos_sigma**2.0\n",
    "    R[3:6, 3:6] = np.identity(3)*KF_param.GNSS_NED_vel_sigma**2.0\n",
    "\n",
    "    return A, F, Q, H, R"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f2a34ba-36e0-42de-9661-69e0d173b4a4",
   "metadata": {},
   "source": [
    "### Initialization of the covariance matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5090d14f-8b1f-4faf-8556-1297d037916a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def initialize_P_EKF(KF_param):\n",
    "\n",
    "    # Initial Error Covariance Matrix for nav EKF\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   KF_Param    Kalman Filter parameters\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   P           (initial) Error Covariance Matrix\n",
    "\n",
    "    # Intitialize state covariance matrix\n",
    "    P = np.zeros((15, 15))\n",
    "    P[0:3, 0:3] = np.identity(3)*KF_param.GNSS_NED_pos_sigma**2.0\n",
    "    P[3:6, 3:6] = 10.0*np.identity(3)*KF_param.GNSS_NED_vel_sigma**2.0\n",
    "    P[6:9, 6:9] = np.identity(3)*KF_param.init_att_unc**2.0\n",
    "    P[9:12, 9:12] = 10.0*np.identity(3)*(KF_param.accel_markov_bias_sigma*9.81)**2.0\n",
    "    P[12:15, 12:15] = 10.0*np.identity(3)*KF_param.gyro_markov_bias_sigma**2.0\n",
    "    return 10.0*P"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f72ba825-9878-4085-af0a-4b03890859a5",
   "metadata": {},
   "source": [
    "### Prediction time update"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7b68da7c-93cd-4317-b8fa-a8a6ae24bd38",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def prediction_step(F, P, Q):\n",
    "\n",
    "    # Kalman Filter prediction step\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   F       Discretized linearized INS error equations\n",
    "    #   P       Error Covariance Matrix\n",
    "    #   Q       Noise Covariance Matrix\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   P       Updated Error Covariance Matrix\n",
    "\n",
    "    P = F@P@F.T+Q\n",
    "    return P"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb9a6518-75da-4091-8449-15d6f216b477",
   "metadata": {},
   "source": [
    "### Correction time update"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a5537286-546f-4530-9f62-36c5606d01e2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def correction_step(P, H, R):\n",
    "\n",
    "    # Kalman Filter correction step\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   P       Error Covariance Matrix\n",
    "    #   H       Measurement Matrix\n",
    "    #   R       Measurement Covariance Matrix\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   P       Updated Error Covariance Matrix\n",
    "    #   K       Kalman Gain (15,6)\n",
    "\n",
    "    S = scipy.linalg.inv(H@P@H.T+R)\n",
    "    K = P@H.T@S\n",
    "    P = (np.identity(15)-K@H)@P\n",
    "    P = 0.5*(P + P.T)\n",
    "    return P, K"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c87e7d4d-3183-4b0d-8339-3c634cf2680d",
   "metadata": {},
   "source": [
    "### Innovation step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1a066146-7267-49b0-b61f-b7f624b3603e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def innovation(K, est_ned, meas_ned, est_v_eb_n, meas_v_eb_n):\n",
    "\n",
    "    # Calculate Innovation and multiply by Kalman gain\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   K               Kalman Gain\n",
    "    #   est_ned         INS estimate of NED position (m)\n",
    "    #   meas_ned        GNSS estimate of NED position (m)\n",
    "    #   est_v_eb_n      INS estimate of velocity (m/sec) ECEF\n",
    "    #   meas_v_eb_n     GNSS estimate of velcoity (m/sec) ECEF\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   delta_x         Kalman gain times innovation\n",
    "\n",
    "    delta_x = np.zeros((15, 1))\n",
    "    delta_y = np.zeros((6, 1))\n",
    "    delta_y[0] = est_ned[0] - meas_ned[0]\n",
    "    delta_y[1] = est_ned[1] - meas_ned[1]\n",
    "    delta_y[2] = est_ned[2] - meas_ned[2]\n",
    "    delta_y[3] = est_v_eb_n[0] - meas_v_eb_n[0]\n",
    "    delta_y[4] = est_v_eb_n[1] - meas_v_eb_n[1]\n",
    "    delta_y[5] = est_v_eb_n[2] - meas_v_eb_n[2]\n",
    "    delta_x = K@delta_y\n",
    "    return delta_x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19c75860-7c95-4f6d-99f6-29020ba2fd09",
   "metadata": {},
   "source": [
    "### INS Solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "861cda3b-636f-4341-a885-7f6aef6d2454",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def correct_NED_errors(delta_x, est_C_b_n, est_IMU_bias, old_latR,\n",
    "                       est_latR, est_longR, est_alt, new_meas_alt,\n",
    "                       est_v_eb_n, new_meas_v_eb_n):\n",
    "\n",
    "    # Update INS solution by estimating errors\n",
    "    #\n",
    "    # INPUTS:\n",
    "    #   delta_x:            Kalman Gain times Innovation\n",
    "    #   est_C_b_n           INS estimated DCM\n",
    "    #   est_IMU_bias        Previous IMU bias (row1: accel, row2: gyro)\n",
    "    #   est_latR            Previous Latitude (rad)\n",
    "    #   est_latR            INS estimate Latitude (rad)\n",
    "    #   est_longR           INS estimate Longitude (rad)\n",
    "    #   est_alt             INS estimate altitude (m)\n",
    "    #   new_meas_alt        GNSS estimate altitude (m)\n",
    "    #   est_v_eb_n          INS esitmate velocity (m/sec)\n",
    "    #   new_meas_v_eb_n     GNSS esimate velocity (m/sec)\n",
    "    #\n",
    "    # OUTPUTS\n",
    "    #   est_latR            NEW EKF latitude estimate (rad)\n",
    "    #   est_longR           NEW EKF longitude estimate (rad)\n",
    "    #   est_alt             NEW EKF altitude estiamte (m)\n",
    "    #   est_v_eb_n          NEW EKF velocity (m/sec)\n",
    "    #   est_C_b_n           New EKF DCM\n",
    "\n",
    "    # DCM Update\n",
    "    dumMat = np.zeros((3, 3))\n",
    "    dumMat[0:3, 0:3] = skew(delta_x[6:9])\n",
    "    est_C_b_n = (np.identity(3) + dumMat)@est_C_b_n\n",
    "\n",
    "    # IMU Bias Update\n",
    "    est_IMU_bias[0, 0] = est_IMU_bias[0, 0] - float(delta_x[9])    #Previous IMU bias (row1: accel, row2: gyro)\n",
    "    est_IMU_bias[0, 1] = est_IMU_bias[0, 1] - float(delta_x[10])\n",
    "    est_IMU_bias[0, 2] = est_IMU_bias[0, 2] - float(delta_x[11])\n",
    "    est_IMU_bias[1, 0] = est_IMU_bias[1, 0] - float(delta_x[12])\n",
    "    est_IMU_bias[1, 1] = est_IMU_bias[1, 1] - float(delta_x[13])\n",
    "    est_IMU_bias[1, 2] = est_IMU_bias[1, 2] - float(delta_x[14])\n",
    "\n",
    "    # Transport Rate (previous step needed)\n",
    "    RN = a*(1.0-e**2)/(1.0-e**2.0*(np.sin(old_latR))**2.0)**1.5\n",
    "    RE = a/np.sqrt(1.0-e**2.0*(np.sin(old_latR))**2.0)\n",
    "\n",
    "    # Position and Velocity update (avoid vertical channel instability)\n",
    "    est_latR = est_latR - float(delta_x[0]/(RN+est_alt))\n",
    "    est_longR = est_longR - float(delta_x[1]/((RE+est_alt)*np.cos(est_latR)))\n",
    "    est_alt = new_meas_alt\n",
    "    est_v_eb_n[0] = est_v_eb_n[0] - float(delta_x[3])\n",
    "    est_v_eb_n[1] = est_v_eb_n[1] - float(delta_x[4])\n",
    "    est_v_eb_n[2] = new_meas_v_eb_n\n",
    "    return est_latR, est_longR, est_alt, est_v_eb_n, est_C_b_n, est_IMU_bias"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f02f61f5-895c-4aab-a80e-806616dca492",
   "metadata": {},
   "source": [
    "## GNSS/IMU fusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d558d9a1-563a-469e-bbb6-5236e3b6db7a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading data from IMU & GNSS...\n"
     ]
    },
    {
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      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=1000.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[                                                                        ]   0%\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Read data into in_profile_array\n",
      " \n",
      "Initializing Navigation States...\n",
      " \n",
      "Initial Conditions:\n",
      "===================\n",
      "Start time: 467000.0\n",
      "Latitude (rad): -0.3707317815293877\n",
      "Longitude (rad): 0.2596507219280116\n",
      "UAV altitude (m): 901.4348\n",
      "UAV attitude (rad): [-1.55118694  0.02158012  0.284334  ]\n",
      "UAV vel_ned (m/s): [-0.00435 -0.00543 -0.01799]\n",
      " \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[========================================================================] 100%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Result is exported to:  C:/Users/bourriz/GNSS_INS_Processing/UIS_PosPac_HyspexNav_processing/Result/Position/Position_Attitude.csv\n"
     ]
    }
   ],
   "source": [
    "print('Reading data from IMU & GNSS...')\n",
    "\n",
    "no_epochs, in_profile_data, InitParms = get_all_INS_GNSS_data(True)\n",
    "\n",
    "print('Read data into in_profile_array')\n",
    "\n",
    "print(' ')\n",
    "print('Initializing Navigation States...')\n",
    "print(' ')\n",
    "\n",
    "class data_packet:\n",
    "    def __init__(self):\n",
    "        # GPS position measurement standard deviation per axis\n",
    "        self.GNSS_NED_pos_sigma = InitParms[0]\n",
    "        # GPS velocity measurement standard deviation per axis\n",
    "        self.GNSS_NED_vel_sigma = InitParms[1]  # m/s\n",
    "        # Attiude uncert\n",
    "        self.init_att_unc = 10 * DTOR #10.0 * DTOR  # rad\n",
    "\n",
    "        # Initial accelerometer bias per axis\n",
    "\n",
    "        self.init_accel_bias = InitParms[2]\n",
    "        # Accelerometer Markov bias standard deviation\n",
    "        \n",
    "        self.accel_markov_bias_sigma = 0.0005  # Times G!!!\n",
    "        # Accelerometer time constant bias\n",
    "        self.accel_TC_bias = 300.0  # sec\n",
    "        \n",
    "        #self.accel_meas_sigma = 0.12  # TIMES G!!!\n",
    "        self.accel_meas_sigma = InitParms[3]/9.8\n",
    "        # Initial gyroscope bias per axis\n",
    "        \n",
    "        self.init_gyro_bias = InitParms[4]\n",
    "        # Gyroscope Markov bias standard deviation\n",
    "        self.gyro_markov_bias_sigma = 0.3 * DTOR\n",
    "        # Gyroscope time constant bias\n",
    "        self.gyro_TC_bias = 300.0  # sec\n",
    "        # Gyroscope measurement noise standard deviation\n",
    "        self.gyro_meas_sigma = InitParms[5]\n",
    "\n",
    "KF_param = data_packet()\n",
    "\n",
    "# Initialize true navigation solution to first reading\n",
    "old_time = in_profile_data[0][0]                # current time\n",
    "old_latR = in_profile_data[0][1]                # lat is first GPS reading\n",
    "old_longR = in_profile_data[0][2]               # Long is first GPS reading\n",
    "old_alt = in_profile_data[0][3]                 # alt is first GPS reading\n",
    "old_eul_nb = in_profile_data[0][13:16]\n",
    "old_C_b_n = Euler_to_CTM(old_eul_nb)    # old CTM\n",
    "old_v_eb_n = in_profile_data[0][4:7]            # vel ned is first GPS reading\n",
    "first_omega_ib_b = in_profile_data[0][7:10]     # first gyro measurement\n",
    "first_f_ib_b = in_profile_data[0][10:13]        # first accel measurement\n",
    "\n",
    "index = 0\n",
    "\n",
    "# Find NED frame ECEF reference\n",
    "latR_base = old_latR\n",
    "longR_base = old_longR\n",
    "alt_base = 0.0  # assume base is at zero alt?\n",
    "xB, yB, zB =LLA_to_ECEF(latR_base, longR_base, alt_base)\n",
    "ECEF_ref = np.array([xB, yB, zB])\n",
    "\n",
    "# Initialize IMU bias states\n",
    "est_IMU_bias = np.array([KF_param.init_accel_bias.T,\n",
    "                         KF_param.init_gyro_bias.T])\n",
    "\n",
    "# Initialize output profile data array\n",
    "out_profile_data = np.zeros((no_epochs, 19))\n",
    "out_profile_data[0][0] = old_time\n",
    "out_profile_data[0][1:4] = old_eul_nb.T*RTOD\n",
    "out_profile_data[0][4:7] = old_v_eb_n.T\n",
    "out_profile_data[0][7] = old_latR*RTOD\n",
    "out_profile_data[0][8] = old_longR*RTOD\n",
    "out_profile_data[0][9] = old_alt\n",
    "out_profile_data[0][10] = 0.0  # Initial NED frame pos\n",
    "out_profile_data[0][11] = 0.0\n",
    "out_profile_data[0][12] = -old_alt  # - Down\n",
    "out_profile_data[0][13:16] = est_IMU_bias[0]\n",
    "out_profile_data[0][16:19] = est_IMU_bias[1]\n",
    "\n",
    "GNSS_NED = np.zeros((no_epochs, 3))\n",
    "INS_NED = np.zeros((no_epochs, 3))\n",
    "v_eb_b = np.zeros((no_epochs, 3))\n",
    "new_meas_heading_n = np.zeros(no_epochs)\n",
    "VelEast = np.zeros(no_epochs)\n",
    "VelNorth = np.zeros(no_epochs)\n",
    "PreviousPoint = np.zeros((no_epochs, 2))\n",
    "\n",
    "# Initialize GNSS timing model\n",
    "GNSS_epoch_interval = 0.2  # Hz of GNSS Receiver (0.1)\n",
    "time_last_GNSS = old_time\n",
    "#time_last_GNSS = 469440\n",
    "GNSS_epoch = 1\n",
    "\n",
    "print('Initial Conditions:')\n",
    "print('===================')\n",
    "print('Start time: ' + str(old_time))\n",
    "print('Latitude (rad): ' + str(old_latR))\n",
    "print('Longitude (rad): ' + str(old_longR))\n",
    "print('UAV altitude (m): ' + str(old_alt))\n",
    "print('UAV attitude (rad): ' + str(old_eul_nb.T))\n",
    "print('UAV vel_ned (m/s): ' + str(old_v_eb_n.T))\n",
    "print(' ')\n",
    "\n",
    "#Compute Noise Covariance Matrices\n",
    "\n",
    "P = initialize_P_EKF(KF_param)\n",
    "\n",
    "#Error State EKF\n",
    "\n",
    "bar = progressbar.ProgressBar(maxval=no_epochs,\n",
    "                              widgets=[progressbar.Bar('=', '[', ']'),\n",
    "                                       ' ', progressbar.Percentage()])\n",
    "bar.start()\n",
    "\n",
    "for epoch in range(1, no_epochs):\n",
    "\n",
    "    # Input data from motion profile array (use epoch k-1 to compute epoch k)\n",
    "    time = in_profile_data[epoch][0]\n",
    "    meas_latR = in_profile_data[epoch][1]               #measured GnSS Latitude\n",
    "    meas_longR = in_profile_data[epoch][2]              #measured GNSS Longitude\n",
    "    meas_alt = in_profile_data[epoch][3]                #measured GNSS Altitude\n",
    "    meas_v_eb_n = in_profile_data[epoch][4:7]           #measured GNSS Velociteies (X/Y/Z) in navigation frame\n",
    "    meas_omega_ib_b = in_profile_data[epoch][7:10]      #measured rates (Roll/Pitch/Yaw) through gyros in body frame\n",
    "    meas_f_ib_b = in_profile_data[epoch][10:13]         #measured acceleration (X/Y/Z) through accelerometers in body frame\n",
    "\n",
    "    # Time interval of INS\n",
    "    tor_i = time - old_time\n",
    "\n",
    "    # Correct the IMU errors (biases)\n",
    "    meas_f_ib_b = meas_f_ib_b + est_IMU_bias[0]\n",
    "    meas_omega_ib_b = meas_omega_ib_b + est_IMU_bias[1]\n",
    "\n",
    "    # Update estimated INS Solution\n",
    "    est_C_b_n, est_v_eb_n, est_latR, est_longR, est_alt = INS_Equations_NED(tor_i, old_latR, old_longR, old_alt, old_v_eb_n, old_C_b_n, meas_omega_ib_b, meas_f_ib_b, new_meas_heading_n[epoch-1]*DTOR)\n",
    "\n",
    "    # Compute INS solution in NED frame\n",
    "    xE, yE, zE = LLA_to_ECEF(est_latR, est_longR, est_alt)\n",
    "    r_eb_e = np.zeros((3, 1))\n",
    "    r_eb_e = np.array([xE, yE, zE])\n",
    "    est_ned = np.zeros((3, 1))\n",
    "    est_ned = ECEF_to_NED(r_eb_e, latR_base, longR_base, alt_base)\n",
    "    INS_NED[epoch] = est_ned.T  # Vector for plotting purposes\n",
    "\n",
    "    # Convert CURRENT GPS measured pos to NED (for innovation)\n",
    "    new_meas_latR = in_profile_data[epoch][1]\n",
    "    new_meas_longR = in_profile_data[epoch][2]\n",
    "    new_meas_alt = in_profile_data[epoch][3]\n",
    "    new_meas_v_eb_n = in_profile_data[epoch][6]\n",
    "  \n",
    "    xE, yE, zE = LLA_to_ECEF(new_meas_latR, new_meas_longR, new_meas_alt)\n",
    "    r_eb_e = np.zeros((3, 1))\n",
    "    r_eb_e = np.array([xE, yE, zE])\n",
    "    GNSS_ned = np.zeros((3, 1))\n",
    "    GNSS_ned = ECEF_to_NED(r_eb_e, latR_base, longR_base, alt_base)\n",
    "    GNSS_NED[epoch] = GNSS_ned.T  # Vector for plotting purposes\n",
    "\n",
    "    # Linearize and discretize error model\n",
    "    A, F, Q, H, R = Get_dem_EKF_matrices(KF_param, tor_i, old_latR, old_alt,\n",
    "                                          old_v_eb_n, old_C_b_n, meas_f_ib_b)\n",
    "\n",
    "   \n",
    "\n",
    "    # Compute prediction step\n",
    "    P = prediction_step(F, P, Q)\n",
    "    \n",
    "    #As[n_epoch] = A             #State Transition Matrix\n",
    "\n",
    "\n",
    "    if (time - time_last_GNSS) >= GNSS_epoch_interval:\n",
    "        GNSS_epoch = GNSS_epoch + 1\n",
    "        tor_s = time - time_last_GNSS  # EKF time interval\n",
    "        time_last_GNSS = time\n",
    "\n",
    "        # Compute correction step for errors\n",
    "        P, K = correction_step(P, H, R)\n",
    "\n",
    "        # Calculate Innovation\n",
    "        delta_x = innovation(K, est_ned, GNSS_ned, est_v_eb_n, meas_v_eb_n)\n",
    "\n",
    "        # Update INS solution with estimated errors\n",
    "        est_latR, est_longR, est_alt, est_v_eb_n, est_C_b_n, est_IMU_bias =correct_NED_errors(delta_x, est_C_b_n, est_IMU_bias, old_latR, est_latR, est_longR, est_alt, new_meas_alt, est_v_eb_n, new_meas_v_eb_n)\n",
    "    \n",
    "    # Convert LLA position solution to NED\n",
    "    xE, yE, zE = LLA_to_ECEF(est_latR, est_longR, est_alt)\n",
    "    r_eb_e = np.zeros((3, 1))\n",
    "    r_eb_e = np.array([xE, yE, zE])\n",
    "    P_n = LLA_to_NED(latR_base, longR_base, alt_base, r_eb_e, ECEF_ref)\n",
    "    if epoch == 0:\n",
    "        new_meas_heading_n[0] = 1.5\n",
    "        index = 0\n",
    "    else:\n",
    "        Range = 100\n",
    "        while(Range>10 and index < epoch):\n",
    "            Range = ma.sqrt((out_profile_data[index][10] - P_n[0])**2+(out_profile_data[index][11] - P_n[1])**2)\n",
    "            if Range > 10:\n",
    "                index += 1\n",
    "        PreviousPoint[epoch][0] = P_n[1]\n",
    "        PreviousPoint[epoch][1] = P_n[2]\n",
    "        NorthD = out_profile_data[index-1][10]-P_n[0]\n",
    "        EastD = out_profile_data[index-1][11]-P_n[1]\n",
    "\n",
    "        new_meas_heading_n[epoch] = (ma.atan2(-EastD, -NorthD) + np.pi)*RTOD\n",
    "\n",
    "\n",
    "    # Record ouput data record\n",
    "    out_profile_data[epoch][0] = time  #Time\n",
    "    out_profile_data[epoch][1:4] = CTM_to_Euler(est_C_b_n).T*RTOD  #Roll Pitch Yaw\n",
    "    out_profile_data[epoch][3] = (out_profile_data[epoch][3] + 360) % 360 \n",
    "    out_profile_data[epoch][4:7] = est_v_eb_n.T #Velocity ve vn vd\n",
    "    out_profile_data[epoch][7] = est_latR*RTOD #Latitude\n",
    "    out_profile_data[epoch][8] = est_longR*RTOD # Longitude\n",
    "    out_profile_data[epoch][9] = est_alt # Altitude\n",
    "    out_profile_data[epoch][10] = P_n[0]\n",
    "    out_profile_data[epoch][11] = P_n[1]\n",
    "    out_profile_data[epoch][12] = P_n[2]\n",
    "    out_profile_data[epoch][13:16] = est_IMU_bias[0]\n",
    "    out_profile_data[epoch][16:19] = est_IMU_bias[1]  \n",
    "\n",
    "    # Reset old values\n",
    "    old_time = time\n",
    "    old_C_b_n = est_C_b_n\n",
    "    old_v_eb_n = est_v_eb_n\n",
    "    old_latR = est_latR\n",
    "    old_longR = est_longR\n",
    "    old_alt = est_alt\n",
    "\n",
    "    bar.update(epoch)\n",
    "\n",
    "bar.finish()\n",
    "\n",
    "# Create a CSV file and write on it  the output\n",
    "csv_file_path = folder+\"/Position_Attitude.csv\"\n",
    "\n",
    "# Headers for the CSV\n",
    "headers = [\"time\", \"latitude\", \"longitude\",\"Height\" ,\"velocity_N\", \"velocity_E\", \"velocity_D\", \"roll\", \"pitch\", \"yaw\"]\n",
    "with open(csv_file_path, 'w', newline='') as csvfile:\n",
    "    csv_writer = csv.writer(csvfile)\n",
    "    \n",
    "    # Write the headers\n",
    "    csv_writer.writerow(headers)\n",
    "    \n",
    "    # Loop through the rows of out_profile_data and write to CSV\n",
    "    for row in out_profile_data:\n",
    "        csv_writer.writerow([\n",
    "            row[0],      # time\n",
    "            row[7],      # latitude\n",
    "            row[8],      # longitude\n",
    "            row[9],      # Height\n",
    "            row[4],      # velocity_x\n",
    "            row[5],      # velocity_y\n",
    "            row[6],      # velocity_z\n",
    "            row[1],      # roll\n",
    "            row[2],      # pitch\n",
    "            row[3]       # yaw\n",
    "        ])\n",
    "\n",
    "# Return the CSV file path\n",
    "print('The Result is exported to: ',csv_file_path)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46f8e508-2f61-4b98-b54b-244ef7c4ce17",
   "metadata": {},
   "source": [
    "## Visualization of the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3dca929b-a3b4-4bbd-be6d-c4256cfcf1b6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#POSPac data\n",
    "Pospac_PP = pd.read_csv(folder+'/export_Mission 1-pp.txt', delimiter = \"\\s+\",header=None)\n",
    "Time=Pospac_PP[0]\n",
    "X=Pospac_PP[2]\n",
    "Y=Pospac_PP[3]\n",
    "Z=Pospac_PP[4]\n",
    "latitude=Pospac_PP[5]\n",
    "longitude=Pospac_PP[6]\n",
    "Roll=Pospac_PP[8]\n",
    "Pitch=Pospac_PP[9]\n",
    "Heading=Pospac_PP[10]\n",
    "Ve=Pospac_PP[11]\n",
    "Vn=Pospac_PP[12]\n",
    "Vd=Pospac_PP[13]\n",
    "total_speed=np.sqrt(Ve**2+Vn**2+Vd**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6bcd09c2-4f72-4b4e-b33e-ddfc0aecbba0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "fusion_result = pd.read_csv(folder+'/out_profile_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7f1a0465-ed64-43af-a371-1b9095e703fb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Height</th>\n",
       "      <th>velocity_N</th>\n",
       "      <th>velocity_E</th>\n",
       "      <th>velocity_D</th>\n",
       "      <th>roll</th>\n",
       "      <th>pitch</th>\n",
       "      <th>yaw</th>\n",
       "      <th>Easting</th>\n",
       "      <th>Northing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>467000.00</td>\n",
       "      <td>-21.241366</td>\n",
       "      <td>14.876891</td>\n",
       "      <td>901.4348</td>\n",
       "      <td>-0.004350</td>\n",
       "      <td>-0.005430</td>\n",
       "      <td>-0.01799</td>\n",
       "      <td>-88.876465</td>\n",
       "      <td>1.236450</td>\n",
       "      <td>16.291138</td>\n",
       "      <td>487226.052157</td>\n",
       "      <td>7.651134e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>467000.01</td>\n",
       "      <td>-21.241366</td>\n",
       "      <td>14.876891</td>\n",
       "      <td>901.4348</td>\n",
       "      <td>-0.004413</td>\n",
       "      <td>-0.005612</td>\n",
       "      <td>-0.01799</td>\n",
       "      <td>-88.872674</td>\n",
       "      <td>1.236889</td>\n",
       "      <td>16.290010</td>\n",
       "      <td>487226.052102</td>\n",
       "      <td>7.651134e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>467000.02</td>\n",
       "      <td>-21.241366</td>\n",
       "      <td>14.876891</td>\n",
       "      <td>901.4348</td>\n",
       "      <td>-0.004361</td>\n",
       "      <td>-0.005968</td>\n",
       "      <td>-0.01799</td>\n",
       "      <td>-88.868275</td>\n",
       "      <td>1.237266</td>\n",
       "      <td>16.288138</td>\n",
       "      <td>487226.052046</td>\n",
       "      <td>7.651134e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>467000.03</td>\n",
       "      <td>-21.241366</td>\n",
       "      <td>14.876891</td>\n",
       "      <td>901.4348</td>\n",
       "      <td>-0.004704</td>\n",
       "      <td>-0.006296</td>\n",
       "      <td>-0.01799</td>\n",
       "      <td>-88.864059</td>\n",
       "      <td>1.238921</td>\n",
       "      <td>16.286799</td>\n",
       "      <td>487226.051987</td>\n",
       "      <td>7.651134e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>467000.04</td>\n",
       "      <td>-21.241366</td>\n",
       "      <td>14.876891</td>\n",
       "      <td>901.4348</td>\n",
       "      <td>-0.005430</td>\n",
       "      <td>-0.006641</td>\n",
       "      <td>-0.01799</td>\n",
       "      <td>-88.860514</td>\n",
       "      <td>1.240347</td>\n",
       "      <td>16.285143</td>\n",
       "      <td>487226.051924</td>\n",
       "      <td>7.651134e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        time   latitude  longitude    Height  velocity_N  velocity_E  \\\n",
       "0  467000.00 -21.241366  14.876891  901.4348   -0.004350   -0.005430   \n",
       "1  467000.01 -21.241366  14.876891  901.4348   -0.004413   -0.005612   \n",
       "2  467000.02 -21.241366  14.876891  901.4348   -0.004361   -0.005968   \n",
       "3  467000.03 -21.241366  14.876891  901.4348   -0.004704   -0.006296   \n",
       "4  467000.04 -21.241366  14.876891  901.4348   -0.005430   -0.006641   \n",
       "\n",
       "   velocity_D       roll     pitch        yaw        Easting      Northing  \n",
       "0    -0.01799 -88.876465  1.236450  16.291138  487226.052157  7.651134e+06  \n",
       "1    -0.01799 -88.872674  1.236889  16.290010  487226.052102  7.651134e+06  \n",
       "2    -0.01799 -88.868275  1.237266  16.288138  487226.052046  7.651134e+06  \n",
       "3    -0.01799 -88.864059  1.238921  16.286799  487226.051987  7.651134e+06  \n",
       "4    -0.01799 -88.860514  1.240347  16.285143  487226.051924  7.651134e+06  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Projection tu UTM 33 S\n",
    "\n",
    "time=fusion_result['time']\n",
    "latitude=fusion_result['latitude']\n",
    "longitude=fusion_result['longitude']\n",
    "transformer=Transformer.from_crs('EPSG:4326','EPSG:32733',always_xy=True)\n",
    "\n",
    "Easting,Northing=transformer.transform(longitude,latitude)\n",
    "\n",
    "d={'time': time,'Easting': Easting,'Northing': Northing}\n",
    "utm_coords=pd.DataFrame(data=d)\n",
    "fusion_result=fusion_result.merge(utm_coords)\n",
    "fusion_result.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "26ebf7a1-948c-4a80-82e3-4471dfd4f805",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Convert the time data into a TimedeltaIndex for profile_data\n",
    "fusion_result.set_index('time', inplace=True)\n",
    "fusion_result.index = pd.to_timedelta(fusion_result.index, unit='s')\n",
    "\n",
    "# Resample the profile_data to match the frequency of mission_data and interpolate missing values\n",
    "resampled_fusion_result = fusion_result.resample('5ms').interpolate()\n",
    "\n",
    "# Convert the TimedeltaIndex back to float for consistency with the original data\n",
    "resampled_fusion_result.reset_index(inplace=True)\n",
    "resampled_fusion_result['time'] = resampled_fusion_result['time'].dt.total_seconds()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "959143e8-3d18-4eb8-8a40-4a95aeddb05a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Interpolation for resampling using scipy\n",
    "start_time = 468360.00736\n",
    "end_time = 469398.65356\n",
    "resample_times = Time[(Time.astype(float) >= start_time) & (Time.astype(float) <= end_time)].astype(float)\n",
    "interpolated_data = {}\n",
    "for column in resampled_fusion_result.columns[1:]:\n",
    "    interpolator = interp1d(resampled_fusion_result['time'], resampled_fusion_result[column], kind='linear', fill_value=\"extrapolate\")\n",
    "    interpolated_data[column] = interpolator(resample_times)\n",
    "interpolated_fusion_result = pd.DataFrame(interpolated_data)\n",
    "interpolated_fusion_result.insert(0, 'time', resample_times)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9d1e4816-69f8-4d1b-861b-1c7dbcab0e34",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "time=interpolated_fusion_result['time']\n",
    "Easting_es=interpolated_fusion_result['Easting']\n",
    "Northing_es=interpolated_fusion_result['Northing']\n",
    "latitude_es=interpolated_fusion_result['latitude']\n",
    "longitude_es=interpolated_fusion_result['longitude']\n",
    "height_es=interpolated_fusion_result['Height']\n",
    "velocity_N_es=interpolated_fusion_result['velocity_N']\n",
    "velocity_E_es=interpolated_fusion_result['velocity_E']\n",
    "velocity_D_es=interpolated_fusion_result['velocity_D']\n",
    "total_speed_es=np.sqrt(velocity_N_es**2+velocity_E_es**2+velocity_D_es**2)\n",
    "roll_es=interpolated_fusion_result['roll']\n",
    "pitch_es=interpolated_fusion_result['pitch']\n",
    "heading_es=interpolated_fusion_result['yaw']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "74ed44c5-03bb-45a3-ab44-850eec5deb0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'GNSS/INS Fusion Results')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "906fc08a2be243d0b2e6150ac2ae0b5b",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=1000.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, a = plt.subplots(3, figsize=(10, 10),sharex=True)\n",
    "a[0].plot(time,Easting_es,label='Estimated')\n",
    "a[0].plot(time,X,label='POSPac')\n",
    "a[0].grid()\n",
    "a[0].set_xlabel('Time (s)')\n",
    "a[0].set_ylabel('Easting (m)')\n",
    "a[0].legend()\n",
    "\n",
    "a[1].plot(time,Northing_es,label='Estimated')\n",
    "a[1].plot(Time,Y,label='POSPac')\n",
    "a[1].grid()\n",
    "a[1].set_ylabel('Northing (m)')\n",
    "a[1].legend()\n",
    "\n",
    "a[2].plot(time,height_es,label='Estimated')\n",
    "a[2].plot(time,Z,label='POSPac')\n",
    "a[2].grid()\n",
    "a[2].set_ylabel('Height (m)')\n",
    "a[2].legend()\n",
    "\n",
    "fig.suptitle('GNSS/INS Fusion Results')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9f133415-fbc7-4f05-8060-3b15d993318f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'GNSS/INS Fusion Results')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a7f96fd4bdea443081bf133fb8a8381b",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, a = plt.subplots()\n",
    "a.plot(time,total_speed_es,label='Estimated')\n",
    "a.plot(Time,total_speed,label='POSPac')\n",
    "a.grid()\n",
    "a.legend()\n",
    "a.set_ylabel('Total velocity (m/s)')\n",
    "fig.suptitle('GNSS/INS Fusion Results')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fff190c3-fae2-448d-a023-ab075ae1fd52",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'GNSS/INS Fusion Results')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "028640829426428d9b300ce98e945d80",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=1000.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, a = plt.subplots(3, figsize=(10, 10),sharex=True)\n",
    "a[0].plot(time,roll_es,label='Estimated')\n",
    "a[0].plot(Time,Roll,label='POSPac')\n",
    "a[0].grid()\n",
    "a[0].legend()\n",
    "a[0].set_ylabel('roll (°)')\n",
    "\n",
    "a[1].plot(time,pitch_es,label='Estimated')\n",
    "a[1].plot(Time,Pitch,label='POSPac')\n",
    "a[1].grid()\n",
    "a[1].set_ylabel('pitch (°)')\n",
    "a[1].legend()\n",
    "\n",
    "a[2].plot(time,heading_es,label='Estimated')\n",
    "a[2].plot(Time,Heading,label='POSPac')\n",
    "a[2].grid()\n",
    "a[2].set_ylabel('heading (°)')\n",
    "a[2].legend()\n",
    "fig.suptitle('GNSS/INS Fusion Results')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}