SPATZ/STAHR_antennas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Handle all includes\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import os\n",
    "import shutil\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "from spatz.utils.preprocess import preprocess_file\n",
    "from spatz.simulation import Simulation, UniformTimeSteps\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Do preprocessing\n",
    "PATH = \"data/simulations\"\n",
    "TMP = f\"{PATH}/temp\"\n",
    "FILE = \"40km\"\n",
    "\n",
    "if os.path.isdir(TMP):\n",
    "    shutil.rmtree(TMP)\n",
    "os.mkdir(TMP)\n",
    "\n",
    "df = preprocess_file(f\"{PATH}/{FILE}.txt\")\n",
    "df.to_csv(f\"{TMP}/{FILE}.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create simulation objects\n",
    "timesteps = UniformTimeSteps(0.1, mu=0, sigma=0, delay_only=True)\n",
    "simulation = Simulation(timesteps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processed 65160 lines in 0.3s.\n",
      "Used 65160 lines due to step size\n"
     ]
    }
   ],
   "source": [
    "from spatz.sensors.antenna.pathloss import AntennaPathloss\n",
    "from spatz.sensors.antenna.tx_gain import AntennaTxGain\n",
    "from spatz.sensors.antenna.constants import STAHR_LORA_FREQ, STAHR_GS_OFFSET\n",
    "\n",
    "alt = simulation.add_observer(['altitude'])\n",
    "fspl_gs = simulation.add_sensor(AntennaPathloss,frequency=STAHR_LORA_FREQ,rx_antenna_offset = STAHR_GS_OFFSET)\n",
    "\n",
    "tx_gain = simulation.add_sensor(AntennaTxGain,gain_pattern_path=f\"data/gain_pattern/farfield_tx_aisler_v1.txt\",rx_antenna_offset = STAHR_GS_OFFSET)\n",
    "\n",
    "simulation.load(f\"{TMP}/{FILE}.csv\")\n",
    "logger = simulation.get_logger()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 197.89999999999304/197.96503111341 [00:06<00:00, 28.81it/s]\n"
     ]
    }
   ],
   "source": [
    "# Run simulation\n",
    "for step, t, dt in simulation.run(verbose=True):\n",
    "    fspl_gs()\n",
    "    tx_gain()\n",
    "    alt()\n",
    "\n",
    "df = logger.get_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "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>antenna/pathloss/pad_distance</th>\n",
       "      <th>antenna/pathloss/gs_distance</th>\n",
       "      <th>antenna/pathloss/out</th>\n",
       "      <th>antenna/tx_gain/rocket_x</th>\n",
       "      <th>antenna/tx_gain/rocket_y</th>\n",
       "      <th>antenna/tx_gain/rocket_z</th>\n",
       "      <th>antenna/tx_gain/pos_x</th>\n",
       "      <th>antenna/tx_gain/pos_y</th>\n",
       "      <th>antenna/tx_gain/pos_z</th>\n",
       "      <th>antenna/tx_gain/theta</th>\n",
       "      <th>antenna/tx_gain/out</th>\n",
       "      <th>general/altitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.1</td>\n",
       "      <td>318.995893</td>\n",
       "      <td>2393.642403</td>\n",
       "      <td>107.81229</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.171335</td>\n",
       "      <td>0.985213</td>\n",
       "      <td>0.774045</td>\n",
       "      <td>0.62666</td>\n",
       "      <td>0.090286</td>\n",
       "      <td>101.321859</td>\n",
       "      <td>4.214389</td>\n",
       "      <td>318.993506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.2</td>\n",
       "      <td>319.103445</td>\n",
       "      <td>2393.635673</td>\n",
       "      <td>107.812266</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.171335</td>\n",
       "      <td>0.985213</td>\n",
       "      <td>0.774038</td>\n",
       "      <td>0.626662</td>\n",
       "      <td>0.090333</td>\n",
       "      <td>101.324573</td>\n",
       "      <td>4.214139</td>\n",
       "      <td>319.087226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.3</td>\n",
       "      <td>319.446981</td>\n",
       "      <td>2393.630009</td>\n",
       "      <td>107.812245</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.171335</td>\n",
       "      <td>0.985213</td>\n",
       "      <td>0.77402</td>\n",
       "      <td>0.626663</td>\n",
       "      <td>0.090481</td>\n",
       "      <td>101.333096</td>\n",
       "      <td>4.213355</td>\n",
       "      <td>319.413466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.4</td>\n",
       "      <td>320.151062</td>\n",
       "      <td>2393.633015</td>\n",
       "      <td>107.812256</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.171335</td>\n",
       "      <td>0.985213</td>\n",
       "      <td>0.773985</td>\n",
       "      <td>0.626662</td>\n",
       "      <td>0.090782</td>\n",
       "      <td>101.350431</td>\n",
       "      <td>4.21176</td>\n",
       "      <td>320.094623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.5</td>\n",
       "      <td>321.276038</td>\n",
       "      <td>2393.648731</td>\n",
       "      <td>107.812313</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>0.171335</td>\n",
       "      <td>0.985213</td>\n",
       "      <td>0.773932</td>\n",
       "      <td>0.626658</td>\n",
       "      <td>0.091262</td>\n",
       "      <td>101.37803</td>\n",
       "      <td>4.209221</td>\n",
       "      <td>321.195802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974</th>\n",
       "      <td>197.5</td>\n",
       "      <td>38666.655696</td>\n",
       "      <td>36965.892649</td>\n",
       "      <td>131.587129</td>\n",
       "      <td>0.005339</td>\n",
       "      <td>0.199508</td>\n",
       "      <td>-0.979882</td>\n",
       "      <td>-0.965728</td>\n",
       "      <td>0.038192</td>\n",
       "      <td>-0.256731</td>\n",
       "      <td>104.716086</td>\n",
       "      <td>3.878095</td>\n",
       "      <td>201.53925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975</th>\n",
       "      <td>197.6</td>\n",
       "      <td>38677.755979</td>\n",
       "      <td>36977.682744</td>\n",
       "      <td>131.589899</td>\n",
       "      <td>0.005338</td>\n",
       "      <td>0.199181</td>\n",
       "      <td>-0.979948</td>\n",
       "      <td>-0.965398</td>\n",
       "      <td>0.038184</td>\n",
       "      <td>-0.257971</td>\n",
       "      <td>104.788403</td>\n",
       "      <td>3.870429</td>\n",
       "      <td>157.943233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1976</th>\n",
       "      <td>197.7</td>\n",
       "      <td>38688.857932</td>\n",
       "      <td>36989.474675</td>\n",
       "      <td>131.592668</td>\n",
       "      <td>0.005337</td>\n",
       "      <td>0.198854</td>\n",
       "      <td>-0.980015</td>\n",
       "      <td>-0.965067</td>\n",
       "      <td>0.038177</td>\n",
       "      <td>-0.259205</td>\n",
       "      <td>104.860455</td>\n",
       "      <td>3.862792</td>\n",
       "      <td>114.487215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1977</th>\n",
       "      <td>197.8</td>\n",
       "      <td>38699.961107</td>\n",
       "      <td>37001.267964</td>\n",
       "      <td>131.595437</td>\n",
       "      <td>0.005336</td>\n",
       "      <td>0.198527</td>\n",
       "      <td>-0.980081</td>\n",
       "      <td>-0.964737</td>\n",
       "      <td>0.038169</td>\n",
       "      <td>-0.260435</td>\n",
       "      <td>104.932242</td>\n",
       "      <td>3.855182</td>\n",
       "      <td>71.171197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1978</th>\n",
       "      <td>197.9</td>\n",
       "      <td>38711.065198</td>\n",
       "      <td>37013.062286</td>\n",
       "      <td>131.598205</td>\n",
       "      <td>0.005335</td>\n",
       "      <td>0.198199</td>\n",
       "      <td>-0.980147</td>\n",
       "      <td>-0.964406</td>\n",
       "      <td>0.038162</td>\n",
       "      <td>-0.261659</td>\n",
       "      <td>105.003766</td>\n",
       "      <td>3.847586</td>\n",
       "      <td>27.99477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1979 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       time antenna/pathloss/pad_distance antenna/pathloss/gs_distance  \\\n",
       "0       0.1                    318.995893                  2393.642403   \n",
       "1       0.2                    319.103445                  2393.635673   \n",
       "2       0.3                    319.446981                  2393.630009   \n",
       "3       0.4                    320.151062                  2393.633015   \n",
       "4       0.5                    321.276038                  2393.648731   \n",
       "...     ...                           ...                          ...   \n",
       "1974  197.5                  38666.655696                 36965.892649   \n",
       "1975  197.6                  38677.755979                 36977.682744   \n",
       "1976  197.7                  38688.857932                 36989.474675   \n",
       "1977  197.8                  38699.961107                 37001.267964   \n",
       "1978  197.9                  38711.065198                 37013.062286   \n",
       "\n",
       "     antenna/pathloss/out antenna/tx_gain/rocket_x antenna/tx_gain/rocket_y  \\\n",
       "0               107.81229                      0.0                 0.171335   \n",
       "1              107.812266                      0.0                 0.171335   \n",
       "2              107.812245                     -0.0                 0.171335   \n",
       "3              107.812256                     -0.0                 0.171335   \n",
       "4              107.812313                     -0.0                 0.171335   \n",
       "...                   ...                      ...                      ...   \n",
       "1974           131.587129                 0.005339                 0.199508   \n",
       "1975           131.589899                 0.005338                 0.199181   \n",
       "1976           131.592668                 0.005337                 0.198854   \n",
       "1977           131.595437                 0.005336                 0.198527   \n",
       "1978           131.598205                 0.005335                 0.198199   \n",
       "\n",
       "     antenna/tx_gain/rocket_z antenna/tx_gain/pos_x antenna/tx_gain/pos_y  \\\n",
       "0                    0.985213              0.774045               0.62666   \n",
       "1                    0.985213              0.774038              0.626662   \n",
       "2                    0.985213               0.77402              0.626663   \n",
       "3                    0.985213              0.773985              0.626662   \n",
       "4                    0.985213              0.773932              0.626658   \n",
       "...                       ...                   ...                   ...   \n",
       "1974                -0.979882             -0.965728              0.038192   \n",
       "1975                -0.979948             -0.965398              0.038184   \n",
       "1976                -0.980015             -0.965067              0.038177   \n",
       "1977                -0.980081             -0.964737              0.038169   \n",
       "1978                -0.980147             -0.964406              0.038162   \n",
       "\n",
       "     antenna/tx_gain/pos_z antenna/tx_gain/theta antenna/tx_gain/out  \\\n",
       "0                 0.090286            101.321859            4.214389   \n",
       "1                 0.090333            101.324573            4.214139   \n",
       "2                 0.090481            101.333096            4.213355   \n",
       "3                 0.090782            101.350431             4.21176   \n",
       "4                 0.091262             101.37803            4.209221   \n",
       "...                    ...                   ...                 ...   \n",
       "1974             -0.256731            104.716086            3.878095   \n",
       "1975             -0.257971            104.788403            3.870429   \n",
       "1976             -0.259205            104.860455            3.862792   \n",
       "1977             -0.260435            104.932242            3.855182   \n",
       "1978             -0.261659            105.003766            3.847586   \n",
       "\n",
       "     general/altitude  \n",
       "0          318.993506  \n",
       "1          319.087226  \n",
       "2          319.413466  \n",
       "3          320.094623  \n",
       "4          321.195802  \n",
       "...               ...  \n",
       "1974        201.53925  \n",
       "1975       157.943233  \n",
       "1976       114.487215  \n",
       "1977        71.171197  \n",
       "1978         27.99477  \n",
       "\n",
       "[1979 rows x 13 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"general/altitude\"].max()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "132.97536657811125\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.grid()\n",
    "plt.plot(df['time'][1:], df['antenna/pathloss/out'][1:], label='FSPL')\n",
    "plt.ylabel(\"Frespace pathloss [dB]\")\n",
    "plt.xlabel(\"Time [s]\")\n",
    "\n",
    "print(np.max(df['antenna/pathloss/out'][1:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43372.36295531341\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.grid()\n",
    "plt.plot(df['time'][1:], df['antenna/pathloss/pad_distance'][1:], label='Dist to PAD')\n",
    "plt.plot(df['time'][1:], df['antenna/pathloss/gs_distance'][1:], label='Dist to GS')\n",
    "plt.ylabel(\"Distances [m]\")\n",
    "plt.xlabel(\"Time [s]\")\n",
    "plt.legend()\n",
    "\n",
    "print(np.max(df['antenna/pathloss/gs_distance'][1:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-8.061355822543295\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.grid()\n",
    "plt.plot(df['time'][1:], df['antenna/tx_gain/out'][1:], label='FSPL')\n",
    "plt.ylabel(\"TX Antenna Gain [dBi]\")\n",
    "plt.xlabel(\"Time [s]\")\n",
    "\n",
    "print(np.min(df['antenna/tx_gain/out'][1:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-110.36486375494266\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate recieved power\n",
    "# Assumptions:  3 dB polarization loss\n",
    "#               20 dBm output power per channel\n",
    "#               16 dBi antenna rx gain\n",
    "#               -6 dB on reciever side\n",
    "\n",
    "\n",
    "df[\"antenna/power_rx\"] = 20+df[\"antenna/tx_gain/out\"] - df[\"antenna/pathloss/out\"] - 3 + 10 - 6 \n",
    "plt.grid()\n",
    "plt.plot(df['time'][1:], df['antenna/power_rx'][1:], label='FSPL')\n",
    "plt.ylabel(\"Recieved Power [dBm]\")\n",
    "plt.xlabel(\"Time [s]\")\n",
    "plt.axhline(-106,color=\"red\")\n",
    "\n",
    "print(np.min(df['antenna/power_rx'][1:]))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "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": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}