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Commit bb12c4f7 authored by Antonio Emilio's avatar Antonio Emilio
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feat: transforming the notebook into a python service

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payload_generation/SatelliteInitial LLA Position.csv 0 → 100644
+ 1444
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View file @ bb12c4f7
"Time (UTCG)","Lat (deg)","Lon (deg)","Alt (km)","Lat Rate (deg/sec)","Lon Rate (deg/sec)","Alt Rate (km/sec)"
2 Dec 2024 11:00:00.000,0.000,123.218,1200.000000,0.038993,0.034595,0.000000
2 Dec 2024 11:01:00.000,2.342,125.295,1200.035441,0.038960,0.034659,0.001179
2 Dec 2024 11:02:00.000,4.679,127.380,1200.141287,0.038861,0.034852,0.002342
2 Dec 2024 11:03:00.000,7.009,129.480,1200.316132,0.038694,0.035175,0.003473
2 Dec 2024 11:04:00.000,9.327,131.604,1200.557655,0.038458,0.035629,0.004559
2 Dec 2024 11:05:00.000,11.628,133.759,1200.862648,0.038151,0.036219,0.005584
2 Dec 2024 11:06:00.000,13.908,135.953,1201.227063,0.037768,0.036946,0.006535
2 Dec 2024 11:07:00.000,16.164,138.195,1201.646066,0.037306,0.037816,0.007400
2 Dec 2024 11:08:00.000,18.389,140.494,1202.114099,0.036760,0.038832,0.008166
2 Dec 2024 11:09:00.000,20.578,142.859,1202.624957,0.036124,0.039999,0.008824
2 Dec 2024 11:10:00.000,22.726,145.298,1203.171874,0.035390,0.041321,0.009365
2 Dec 2024 11:11:00.000,24.828,147.821,1203.747607,0.034553,0.042801,0.009783
2 Dec 2024 11:12:00.000,26.875,150.439,1204.344537,0.033602,0.044442,0.010070
2 Dec 2024 11:13:00.000,28.862,153.159,1204.954771,0.032530,0.046242,0.010225
2 Dec 2024 11:14:00.000,30.781,155.992,1205.570245,0.031324,0.048198,0.010245
2 Dec 2024 11:15:00.000,32.623,158.948,1206.182831,0.029977,0.050302,0.010129
2 Dec 2024 11:16:00.000,34.379,162.033,1206.784444,0.028476,0.052541,0.009880
2 Dec 2024 11:17:00.000,36.040,165.257,1207.367149,0.026812,0.054892,0.009500
2 Dec 2024 11:18:00.000,37.597,168.625,1207.923268,0.024976,0.057326,0.008995
2 Dec 2024 11:19:00.000,39.037,172.140,1208.445475,0.022962,0.059803,0.008372
2 Dec 2024 11:20:00.000,40.352,175.805,1208.926897,0.020764,0.062269,0.007639
2 Dec 2024 11:21:00.000,41.528,179.615,1209.361199,0.018384,0.064664,0.006805
2 Dec 2024 11:22:00.000,42.557,-176.434,1209.742671,0.015827,0.066914,0.005882
2 Dec 2024 11:23:00.000,43.426,-172.355,1210.066298,0.013104,0.068943,0.004881
2 Dec 2024 11:24:00.000,44.128,-168.163,1210.327830,0.010233,0.070669,0.003817
2 Dec 2024 11:25:00.000,44.653,-163.877,1210.523831,0.007241,0.072017,0.002702
2 Dec 2024 11:26:00.000,44.996,-159.524,1210.651727,0.004157,0.072923,0.001552
2 Dec 2024 11:27:00.000,45.152,-155.131,1210.709839,0.001021,0.073342,0.000381
2 Dec 2024 11:28:00.000,45.118,-150.728,1210.697405,-0.002129,0.073252,-0.000795
2 Dec 2024 11:29:00.000,44.897,-146.346,1210.614587,-0.005251,0.072657,-0.001960
2 Dec 2024 11:30:00.000,44.489,-142.014,1210.462473,-0.008306,0.071589,-0.003099
2 Dec 2024 11:31:00.000,43.901,-137.758,1210.243060,-0.011259,0.070100,-0.004198
2 Dec 2024 11:32:00.000,43.139,-133.604,1209.959229,-0.014081,0.068259,-0.005242
2 Dec 2024 11:33:00.000,42.212,-129.568,1209.614709,-0.016747,0.066143,-0.006217
2 Dec 2024 11:34:00.000,41.130,-125.666,1209.214026,-0.019243,0.063833,-0.007110
2 Dec 2024 11:35:00.000,39.904,-121.907,1208.762448,-0.021559,0.061405,-0.007909
2 Dec 2024 11:36:00.000,38.544,-118.295,1208.265914,-0.023692,0.058929,-0.008605
2 Dec 2024 11:37:00.000,37.061,-114.831,1207.730957,-0.025643,0.056462,-0.009187
2 Dec 2024 11:38:00.000,35.467,-111.515,1207.164621,-0.027417,0.054053,-0.009648
2 Dec 2024 11:39:00.000,33.771,-108.341,1206.574367,-0.029022,0.051739,-0.009983
2 Dec 2024 11:40:00.000,31.983,-105.302,1205.967976,-0.030468,0.049545,-0.010185
2 Dec 2024 11:41:00.000,30.113,-102.390,1205.353446,-0.031765,0.047492,-0.010253
2 Dec 2024 11:42:00.000,28.170,-99.598,1204.738891,-0.032922,0.045590,-0.010186
2 Dec 2024 11:43:00.000,26.161,-96.915,1204.132428,-0.033951,0.043846,-0.009984
2 Dec 2024 11:44:00.000,24.094,-94.332,1203.542073,-0.034860,0.042262,-0.009650
2 Dec 2024 11:45:00.000,21.975,-91.839,1202.975634,-0.035660,0.040838,-0.009189
2 Dec 2024 11:46:00.000,19.812,-89.427,1202.440610,-0.036358,0.039571,-0.008605
2 Dec 2024 11:47:00.000,17.609,-87.087,1201.944086,-0.036962,0.038457,-0.007908
2 Dec 2024 11:48:00.000,15.373,-84.809,1201.492641,-0.037478,0.037493,-0.007106
2 Dec 2024 11:49:00.000,13.108,-82.584,1201.092260,-0.037911,0.036674,-0.006210
2 Dec 2024 11:50:00.000,10.820,-80.405,1200.748255,-0.038267,0.035996,-0.005231
2 Dec 2024 11:51:00.000,8.512,-78.262,1200.465191,-0.038549,0.035454,-0.004183
2 Dec 2024 11:52:00.000,6.190,-76.148,1200.246824,-0.038761,0.035046,-0.003079
2 Dec 2024 11:53:00.000,3.857,-74.054,1200.096056,-0.038903,0.034769,-0.001935
2 Dec 2024 11:54:00.000,1.517,-71.973,1200.014887,-0.038979,0.034622,-0.000765
2 Dec 2024 11:55:00.000,-0.825,-69.896,1200.004397,-0.038989,0.034603,0.000416
2 Dec 2024 11:56:00.000,-3.165,-67.818,1200.064724,-0.038933,0.034712,0.001591
2 Dec 2024 11:57:00.000,-5.501,-65.728,1200.195067,-0.038810,0.034951,0.002744
2 Dec 2024 11:58:00.000,-7.826,-63.621,1200.393695,-0.038619,0.035320,0.003862
2 Dec 2024 11:59:00.000,-10.139,-61.487,1200.657971,-0.038358,0.035821,0.004928
2 Dec 2024 12:00:00.000,-12.433,-59.319,1200.984386,-0.038025,0.036459,0.005928
2 Dec 2024 12:01:00.000,-14.705,-57.109,1201.368607,-0.037614,0.037236,0.006850
2 Dec 2024 12:02:00.000,-16.951,-54.848,1201.805538,-0.037124,0.038157,0.007681
2 Dec 2024 12:03:00.000,-19.164,-52.527,1202.289385,-0.036546,0.039225,0.008411
2 Dec 2024 12:04:00.000,-21.339,-50.137,1202.813736,-0.035877,0.040447,0.009028
2 Dec 2024 12:05:00.000,-23.472,-47.669,1203.371644,-0.035108,0.041824,0.009527
2 Dec 2024 12:06:00.000,-25.555,-45.114,1203.955724,-0.034232,0.043360,0.009899
2 Dec 2024 12:07:00.000,-27.582,-42.462,1204.558250,-0.033239,0.045057,0.010140
2 Dec 2024 12:08:00.000,-29.546,-39.703,1205.171254,-0.032121,0.046913,0.010247
2 Dec 2024 12:09:00.000,-31.438,-36.827,1205.786639,-0.030867,0.048923,0.010219
2 Dec 2024 12:10:00.000,-33.251,-33.827,1206.396279,-0.029466,0.051076,0.010056
2 Dec 2024 12:11:00.000,-34.975,-30.693,1206.992131,-0.027909,0.053357,0.009761
2 Dec 2024 12:12:00.000,-36.601,-27.420,1207.566337,-0.026186,0.055742,0.009336
2 Dec 2024 12:13:00.000,-38.118,-24.000,1208.111333,-0.024288,0.058196,0.008789
2 Dec 2024 12:14:00.000,-39.515,-20.432,1208.619941,-0.022209,0.060675,0.008126
2 Dec 2024 12:15:00.000,-40.782,-16.716,1209.085468,-0.019947,0.063124,0.007356
2 Dec 2024 12:16:00.000,-41.908,-12.855,1209.501790,-0.017504,0.065476,0.006490
2 Dec 2024 12:17:00.000,-42.881,-8.858,1209.863434,-0.014887,0.067658,0.005538
2 Dec 2024 12:18:00.000,-43.693,-4.737,1210.165647,-0.012109,0.069589,0.004513
2 Dec 2024 12:19:00.000,-44.333,-0.509,1210.404459,-0.009192,0.071190,0.003429
2 Dec 2024 12:20:00.000,-44.795,3.803,1210.576734,-0.006164,0.072389,0.002300
2 Dec 2024 12:21:00.000,-45.072,8.173,1210.680210,-0.003057,0.073128,0.001141
2 Dec 2024 12:22:00.000,-45.162,12.574,1210.713528,0.000088,0.073368,-0.000033
2 Dec 2024 12:23:00.000,-45.062,16.973,1210.676251,0.003233,0.073099,-0.001207
2 Dec 2024 12:24:00.000,-44.774,21.341,1210.568868,0.006336,0.072333,-0.002365
2 Dec 2024 12:25:00.000,-44.302,25.649,1210.392790,0.009359,0.071110,-0.003491
2 Dec 2024 12:26:00.000,-43.652,29.871,1210.150327,0.012269,0.069489,-0.004572
2 Dec 2024 12:27:00.000,-42.831,33.986,1209.844665,0.015038,0.067541,-0.005593
2 Dec 2024 12:28:00.000,-41.849,37.976,1209.479818,0.017646,0.065348,-0.006541
2 Dec 2024 12:29:00.000,-40.715,41.828,1209.060582,0.020079,0.062988,-0.007402
2 Dec 2024 12:30:00.000,-39.440,45.536,1208.592469,0.022331,0.060536,-0.008166
2 Dec 2024 12:31:00.000,-38.036,49.096,1208.081635,0.024399,0.058057,-0.008823
2 Dec 2024 12:32:00.000,-36.512,52.507,1207.534805,0.026287,0.055606,-0.009364
2 Dec 2024 12:33:00.000,-34.881,55.773,1206.959180,0.028001,0.053226,-0.009781
2 Dec 2024 12:34:00.000,-33.152,58.899,1206.362344,0.029549,0.050952,-0.010069
2 Dec 2024 12:35:00.000,-31.334,61.892,1205.752167,0.030941,0.048806,-0.010224
2 Dec 2024 12:36:00.000,-29.437,64.760,1205.136700,0.032187,0.046805,-0.010245
2 Dec 2024 12:37:00.000,-27.470,67.513,1204.524070,0.033298,0.044958,-0.010130
2 Dec 2024 12:38:00.000,-25.439,70.160,1203.922371,0.034284,0.043270,-0.009881
2 Dec 2024 12:39:00.000,-23.353,72.710,1203.339558,0.035154,0.041742,-0.009502
2 Dec 2024 12:40:00.000,-21.218,75.173,1202.783341,0.035917,0.040374,-0.008997
2 Dec 2024 12:41:00.000,-19.040,77.559,1202.261085,0.036581,0.039161,-0.008373
2 Dec 2024 12:42:00.000,-16.825,79.876,1201.779708,0.037153,0.038101,-0.007637
2 Dec 2024 12:43:00.000,-14.579,82.134,1201.345588,0.037640,0.037188,-0.006801
2 Dec 2024 12:44:00.000,-12.305,84.342,1200.964484,0.038045,0.036419,-0.005874
2 Dec 2024 12:45:00.000,-10.009,86.508,1200.641451,0.038375,0.035789,-0.004869
2 Dec 2024 12:46:00.000,-7.696,88.640,1200.380776,0.038632,0.035295,-0.003800
2 Dec 2024 12:47:00.000,-5.370,90.746,1200.185920,0.038819,0.034934,-0.002680
2 Dec 2024 12:48:00.000,-3.034,92.834,1200.059470,0.038938,0.034703,-0.001525
2 Dec 2024 12:49:00.000,-0.693,94.913,1200.003106,0.038990,0.034601,-0.000349
2 Dec 2024 12:50:00.000,1.649,96.989,1200.017578,0.038977,0.034627,0.000831
2 Dec 2024 12:51:00.000,3.988,99.071,1200.102691,0.038897,0.034782,0.002000
2 Dec 2024 12:52:00.000,6.321,101.165,1200.257317,0.038751,0.035066,0.003143
2 Dec 2024 12:53:00.000,8.642,103.281,1200.479401,0.038535,0.035481,0.004244
2 Dec 2024 12:54:00.000,10.949,105.426,1200.765994,0.038249,0.036030,0.005288
2 Dec 2024 12:55:00.000,13.236,107.608,1201.113293,0.037889,0.036716,0.006262
2 Dec 2024 12:56:00.000,15.499,109.835,1201.516688,0.037451,0.037543,0.007154
2 Dec 2024 12:57:00.000,17.734,112.116,1201.970829,0.036930,0.038516,0.007950
2 Dec 2024 12:58:00.000,19.934,114.460,1202.469695,0.036322,0.039638,0.008641
2 Dec 2024 12:59:00.000,22.095,116.876,1203.006675,0.035618,0.040913,0.009218
2 Dec 2024 13:00:00.000,24.211,119.374,1203.574659,0.034812,0.042347,0.009672
2 Dec 2024 13:01:00.000,26.275,121.962,1204.166129,0.033896,0.043939,0.009999
2 Dec 2024 13:02:00.000,28.281,124.651,1204.773261,0.032860,0.045692,0.010193
2 Dec 2024 13:03:00.000,30.221,127.450,1205.388031,0.031696,0.047603,0.010253
2 Dec 2024 13:04:00.000,32.086,130.368,1206.002319,0.030391,0.049665,0.010177
2 Dec 2024 13:05:00.000,33.869,133.415,1206.608015,0.028937,0.051866,0.009967
2 Dec 2024 13:06:00.000,35.559,136.597,1207.197131,0.027322,0.054186,0.009626
2 Dec 2024 13:07:00.000,37.148,139.922,1207.761900,0.025538,0.056600,0.009158
2 Dec 2024 13:08:00.000,38.624,143.393,1208.294883,0.023577,0.059068,0.008569
2 Dec 2024 13:09:00.000,39.977,147.013,1208.789062,0.021434,0.061544,0.007867
2 Dec 2024 13:10:00.000,41.195,150.781,1209.237935,0.019108,0.063967,0.007062
2 Dec 2024 13:11:00.000,42.268,154.691,1209.635598,0.016602,0.066268,0.006164
2 Dec 2024 13:12:00.000,43.186,158.734,1209.976825,0.013926,0.068370,0.005185
2 Dec 2024 13:13:00.000,43.938,162.895,1210.257130,0.011097,0.070194,0.004138
2 Dec 2024 13:14:00.000,44.517,167.155,1210.472834,0.008137,0.071661,0.003036
2 Dec 2024 13:15:00.000,44.914,171.490,1210.621102,0.005077,0.072704,0.001895
2 Dec 2024 13:16:00.000,45.125,175.875,1210.699989,0.001952,0.073270,0.000729
2 Dec 2024 13:17:00.000,45.148,-179.722,1210.708459,-0.001198,0.073332,-0.000447
2 Dec 2024 13:18:00.000,44.982,-175.330,1210.646400,-0.004332,0.072885,-0.001617
2 Dec 2024 13:19:00.000,44.629,-170.980,1210.514627,-0.007411,0.071952,-0.002766
2 Dec 2024 13:20:00.000,44.093,-166.700,1210.314871,-0.010398,0.070581,-0.003878
2 Dec 2024 13:21:00.000,43.382,-162.513,1210.049754,-0.013261,0.068836,-0.004939
2 Dec 2024 13:22:00.000,42.503,-158.440,1209.722759,-0.015975,0.066793,-0.005936
2 Dec 2024 13:23:00.000,41.466,-154.498,1209.338181,-0.018523,0.064532,-0.006855
2 Dec 2024 13:24:00.000,40.281,-150.695,1208.901075,-0.020893,0.062132,-0.007683
2 Dec 2024 13:25:00.000,38.960,-147.039,1208.417190,-0.023080,0.059663,-0.008410
2 Dec 2024 13:26:00.000,37.512,-143.532,1207.892892,-0.025084,0.057188,-0.009027
2 Dec 2024 13:27:00.000,35.950,-140.173,1207.335082,-0.026910,0.054758,-0.009525
2 Dec 2024 13:28:00.000,34.283,-136.957,1206.751108,-0.028564,0.052412,-0.009897
2 Dec 2024 13:29:00.000,32.521,-133.879,1206.148666,-0.030056,0.050181,-0.010139
2 Dec 2024 13:30:00.000,30.675,-130.930,1205.535702,-0.031396,0.048084,-0.010247
2 Dec 2024 13:31:00.000,28.752,-128.104,1204.920306,-0.032593,0.046137,-0.010220
2 Dec 2024 13:32:00.000,26.762,-125.389,1204.310605,-0.033659,0.044345,-0.010058
2 Dec 2024 13:33:00.000,24.711,-122.778,1203.714657,-0.034603,0.042714,-0.009763
2 Dec 2024 13:34:00.000,22.607,-120.259,1203.140342,-0.035434,0.041243,-0.009338
2 Dec 2024 13:35:00.000,20.456,-117.824,1202.595261,-0.036162,0.039929,-0.008790
2 Dec 2024 13:36:00.000,18.265,-115.464,1202.086632,-0.036793,0.038771,-0.008126
2 Dec 2024 13:37:00.000,16.038,-113.168,1201.621192,-0.037334,0.037763,-0.007354
2 Dec 2024 13:38:00.000,13.781,-110.929,1201.205112,-0.037791,0.036902,-0.006484
2 Dec 2024 13:39:00.000,11.499,-108.737,1200.843911,-0.038170,0.036182,-0.005529
2 Dec 2024 13:40:00.000,9.197,-106.584,1200.542381,-0.038473,0.035600,-0.004500
2 Dec 2024 13:41:00.000,6.879,-104.462,1200.304525,-0.038705,0.035153,-0.003411
2 Dec 2024 13:42:00.000,4.548,-102.363,1200.133500,-0.038868,0.034838,-0.002277
2 Dec 2024 13:43:00.000,2.210,-100.279,1200.031577,-0.038964,0.034652,-0.001113
2 Dec 2024 13:44:00.000,-0.131,-98.202,1200.000112,-0.038993,0.034595,0.000066
2 Dec 2024 13:45:00.000,-2.473,-96.125,1200.039520,-0.038956,0.034667,0.001244
2 Dec 2024 13:46:00.000,-4.810,-94.040,1200.149280,-0.038853,0.034867,0.002406
2 Dec 2024 13:47:00.000,-7.139,-91.938,1200.327933,-0.038683,0.035197,0.003536
2 Dec 2024 13:48:00.000,-9.456,-89.813,1200.573107,-0.038443,0.035659,0.004618
2 Dec 2024 13:49:00.000,-11.756,-87.656,1200.881546,-0.038131,0.036256,0.005640
2 Dec 2024 13:50:00.000,-14.036,-85.460,1201.249157,-0.037744,0.036991,0.006586
2 Dec 2024 13:51:00.000,-16.289,-83.214,1201.671062,-0.037278,0.037869,0.007445
2 Dec 2024 13:52:00.000,-18.512,-80.912,1202.141666,-0.036727,0.038893,0.008206
2 Dec 2024 13:53:00.000,-20.700,-78.544,1202.654731,-0.036085,0.040069,0.008858
2 Dec 2024 13:54:00.000,-22.846,-76.100,1203.203459,-0.035346,0.041400,0.009392
2 Dec 2024 13:55:00.000,-24.944,-73.571,1203.780586,-0.034503,0.042889,0.009802
2 Dec 2024 13:56:00.000,-26.988,-70.949,1204.378474,-0.033546,0.044538,0.010083
2 Dec 2024 13:57:00.000,-28.972,-68.222,1204.989218,-0.032466,0.046347,0.010230
2 Dec 2024 13:58:00.000,-30.886,-65.382,1205.604746,-0.031253,0.048312,0.010242
2 Dec 2024 13:59:00.000,-32.723,-62.420,1206.216931,-0.029897,0.050425,0.010119
2 Dec 2024 14:00:00.000,-34.475,-59.327,1206.817693,-0.028387,0.052670,0.009862
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3 Dec 2024 11:00:00.000,39.246,172.703,1208.521738,0.022638,0.060181,0.008267
payload_generation/final_simulation.py 0 → 100644
+ 426
− 0
View file @ bb12c4f7
from os import times
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import pandas as pd
from math import acos
import csv
# Load the CSV file
file_path = 'SatelliteInitial LLA Position.csv'
satellite_data = pd.read_csv(file_path)
# Datas
earth_radius = 6371 # km
drone_cursing = 724/3.6 # Drone cursing speed (km/h)
drone_altitude = earth_radius + 9 # km
N=80000 # Number of points for the drone (calculated to have one point/second)
# Extract time, latitude, longitude, and altitude data
latitudes = satellite_data['Lat (deg)'].values
longitudes = satellite_data['Lon (deg)'].values
altitudes = satellite_data['Alt (km)'].values
latitude_rates= satellite_data['Lat Rate (deg/sec)'].values
longitude_rates= satellite_data['Lon Rate (deg/sec)'].values
altitude_rates= satellite_data['Alt Rate (km/sec)'].values
time = [seconds for seconds in range (len(altitudes))] #temps écoulé en secondes depuis le début de la simulation à chaque point
# Converting spherical → Cartesian coordinates
def latlonalt_to_cartesian(lat, lon, alt):
lat_rad = np.radians(lat)
lon_rad = np.radians(lon)
r = earth_radius + alt
x = r * np.cos(lat_rad) * np.cos(lon_rad)
y = r * np.cos(lat_rad) * np.sin(lon_rad)
z = r * np.sin(lat_rad)
return x, y, z
# Converting spherical → cartesian velocity
def spherical_to_cartesian_velocity(r, theta, phi, theta_rate, phi_rate, altitude_rate):
vx = (
altitude_rate * np.cos(theta) * np.cos(phi)
- r * np.sin(theta) * np.cos(phi) * theta_rate
- r * np.cos(theta) * np.sin(phi) * phi_rate
)
vy = (
altitude_rate * np.cos(theta) * np.sin(phi)
- r * np.sin(theta) * np.sin(phi) * theta_rate
+ r * np.cos(theta) * np.cos(phi) * phi_rate
)
vz = (
altitude_rate * np.sin(theta)
+ r * np.cos(theta) * theta_rate
)
return np.array([vx, vy, vz])
# Satelite trajectory (in cartesian coordinates)
satellite_x, satellite_y, satellite_z = latlonalt_to_cartesian(latitudes, longitudes, altitudes)
satellite_velocities=[]
for t in time :
satellite_velocities.append(spherical_to_cartesian_velocity(altitudes[t], latitudes[t], longitudes[t], latitude_rates[t], longitude_rates[t], altitude_rates[t]))
# Liste des points du satellite :
Positions_satellite=[ [satellite_x[t], satellite_y[t], satellite_z[t]] for t in time]
# Drone trajectory
# Coordinate of Clermont-Ferrand (in km/radians)
C = [drone_altitude, 0.7718, 0.0538] # [r, θ, φ]
# Coordinate of Adelaïde (in km/radians)
A = [drone_altitude, 2.180, 2.420] # [r, θ, φ]
# Conversion in cartesian coordinates
C_cart = np.array([
C[0] * np.sin(C[1]) * np.cos(C[2]),
C[0] * np.sin(C[1]) * np.sin(C[2]),
C[0] * np.cos(C[1])
])
A_cart = np.array([
A[0] * np.sin(A[1]) * np.cos(A[2]),
A[0] * np.sin(A[1]) * np.sin(A[2]),
A[0] * np.cos(A[1])
])
# Vector normal to the plane (OAC)
n = np.array([
A_cart[1] * C_cart[2] - A_cart[2] * C_cart[1],
A_cart[2] * C_cart[0] - A_cart[0] * C_cart[2],
A_cart[0] * C_cart[1] - A_cart[1] * C_cart[0]
])
# Normalisation of the vector n
n = n / np.linalg.norm(n)
# Definition of the vectors u and v : new frame
u = C_cart / np.linalg.norm(C_cart) # Unitary vector in OC's direction
v = np.cross(n, u)
v = v / np.linalg.norm(v) # Vector normal to u and n
# Stop angle
psca=np.dot(A_cart,C_cart)
alpha=acos(psca/(drone_altitude**2))
# Parametrisation of the great circle
t_values = np.linspace(0, -alpha, N)
Positions_drone = drone_altitude * (np.outer(np.cos(t_values), u) + np.outer(np.sin(t_values), v))
drone_x, drone_y, drone_z = Positions_drone[:, 0], Positions_drone[:, 1], Positions_drone[:, 2]
# Create the figure and the 3D axis
fig = plt.figure(figsize=(10, 7))
ax = fig.add_subplot(111, projection='3d')
# Create the figure and 3D axis
u, v = np.mgrid[0:2*np.pi:100j, 0:np.pi:50j]
earth_x = earth_radius * np.cos(u) * np.sin(v)
earth_y = earth_radius * np.sin(u) * np.sin(v)
earth_z = earth_radius * np.cos(v)
ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
# Plot the satellite's trajectory
# ax.plot(satellite_x, satellite_y, satellite_z, color='red', label='Satellite Trajectory')
# Plot the drone's trajectory
# ax.plot(drone_x, drone_y, drone_z, color='green', label='Drone Trajectory')
# Define boundaries and labels
ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
ax.set_xlabel("X (km)")
ax.set_ylabel("Y (km)")
ax.set_zlabel("Z (km)")
ax.set_title("Modélisation 3D des trajectoires du drone et du satellite")
ax.legend()
# plt.show()
print(len(Positions_drone))
print(len(altitudes))
import matplotlib.pyplot as plt
# Calculate the distance and relative speed between the satellite and the drone
# Calculating drone velocities
def position_a_vitesse (Pos, dt):
# Numerical derivation of the position vector as a function of time
l=len(Pos)
V=[] # list of velocity vectors
for i in range (l-1):
v=[]
for j in range (3):
v.append((Pos[i+1][j]-Pos[i][j])/dt)
V.append(v)
return V
drone_velocities=position_a_vitesse(Positions_drone,1) # step of one second
# Calculating radial speed
def radial_velocity(X1, X2, V1, V2, dt):
# Calculates the ratio-velocities at instants T from the velocities of the two modules
V_radiale=[]
l=min(len(X1), len(X2))
for i in range(l-1):
N=[X2[i][0]-X1[i][0], X2[i][1]-X1[i][1], X2[i][2]-X1[i][2]]
norme=np.sqrt((N[0]**2)+(N[1]**2)+(N[2]**2))
N=[N[0]/norme, N[1]/norme, N[2]/norme]
v1_radiale=V1[i][0]*N[0]+V1[i][1]*N[1]+V1[i][2]*N[2]
v2_radiale=V2[i][0]*N[0]+V2[i][1]*N[1]+V2[i][2]*N[2]
v_radiale=v2_radiale-v1_radiale
V_radiale.append(v_radiale)
return V_radiale
l=min(len(Positions_drone), len(altitudes))
Radial_velocities=radial_velocity(Positions_drone, Positions_satellite, drone_velocities, satellite_velocities, 1)
#distances
distances=[np.linalg.norm(Positions_drone[i]-Positions_satellite[i]) for i in range(l)]
# Plot distance and relative speed
# Plot distance
plt.figure(figsize=(12, 6))
plt.plot(time[:l], distances, label="Distance (km)")
plt.xlabel("Time (seconds)")
plt.ylabel("Distance (km)")
plt.title("Distance Between Satellite and Drone Over Time")
plt.legend()
plt.grid(True)
# plt.show()
# Plot relative speed
plt.figure(figsize=(12, 6))
plt.plot(time[:l-1], Radial_velocities, label="Relative Velocity (km/s)", color="orange")
plt.xlabel("Time (seconds)")
plt.ylabel("Relative Velocity (km/s)")
plt.title("Relative Velocity Between Satellite and Drone Over Time")
plt.legend()
plt.grid(True)
# plt.show()
"""## Plotting GIF"""
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.animation import FuncAnimation, PillowWriter
# Configuração inicial do gráfico 3D
fig = plt.figure(figsize=(10, 7))
ax = fig.add_subplot(111, projection='3d')
# Configurações para os limites do gráfico e rótulos
ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
ax.set_xlabel("X (km)")
ax.set_ylabel("Y (km)")
ax.set_zlabel("Z (km)")
# Criar a Terra como uma esfera
u, v = np.mgrid[0:2 * np.pi:100j, 0:np.pi:50j]
earth_x = earth_radius * np.cos(u) * np.sin(v)
earth_y = earth_radius * np.sin(u) * np.sin(v)
earth_z = earth_radius * np.cos(v)
ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
# Configuração inicial para a animação mais rápida
skip_points = 100 # Quantidade de pontos a pular para acelerar o movimento
# Atualizar a função de animação para pular quadros
def update(frame):
ax.cla() # Limpar o gráfico para o próximo quadro
# Redefinir os limites e o rótulo da Terra
ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
ax.set_xlabel("X (km)")
ax.set_ylabel("Y (km)")
ax.set_zlabel("Z (km)")
# Calcular índice considerando o pulo de pontos
index = frame * skip_points
if index >= len(satellite_x):
index = len(satellite_x) - 1 # Evitar ultrapassar o limite dos dados
# Plotar a trajetória até o índice atual para ambos
ax.plot(satellite_x[:index], satellite_y[:index], satellite_z[:index], color='red', label='Satellite Trajectory')
ax.plot(drone_x[:index], drone_y[:index], drone_z[:index], color='green', label='Drone Trajectory')
# Plotar o ponto atual do satélite e do drone
ax.scatter(satellite_x[index], satellite_y[index], satellite_z[index], color='red', s=50)
ax.scatter(drone_x[index], drone_y[index], drone_z[index], color='green', s=50)
# Adicionar a legenda
ax.legend()
# Criar a animação com os pontos pulados para aumentar a velocidade aparente
num_frames = len(satellite_x) // skip_points
ani = FuncAnimation(fig, update, frames=num_frames, interval=50) # Interval para ajustar a suavidade
# Salvar como GIF
ani.save("satellite_drone_movement_fast.gif", writer=PillowWriter(fps=20))
"""## Doppler effect calculation and attenuation
![image.png](attachment:image.png)
"""
import numpy as np
import matplotlib.pyplot as plt
# Parameters
frequency = 13e9 # Transmission ferquency in Hz (13 GHz)
c = 3e8 # Speed of the light in m/s
# Lists for storing Doppler shift, signal level and distance between satellite and drone
doppler_shifts = []
signal_levels = []
print(len(distances))
# Calculate the Doppler shift, signal level and distance for each point
for i in range(l-1):
# Current position of satellite and drone
sat_pos = np.array([satellite_x[i], satellite_y[i], satellite_z[i]])
drone_pos = np.array([drone_x[i], drone_y[i], drone_z[i]])
# Calculate the Doppler shift
doppler_shift = (Radial_velocities[i] / c) * frequency / 1000 # Em kHz
doppler_shifts.append(doppler_shift)
# Calculate the signal level in dB (Free-Space Path Loss)
path_loss_dB = 20 * np.log10(4 * np.pi * distances[i] * frequency / c)
signal_levels.append(-path_loss_dB) # Using negative to represent the signal level in dB
# Plotar o efeito Doppler, o nível de sinal e a distância ao longo do tempo
plt.figure(figsize=(12, 12))
# Plot Doppler Shift
plt.subplot(3, 1, 1)
plt.plot(time[:l-1], doppler_shifts, label="Doppler Shift (kHz)", color="purple")
plt.xlabel("Time (seconds)")
plt.ylabel("Doppler Shift (kHz)")
plt.title("Doppler Shift Between Satellite and Drone Over Time")
plt.legend()
plt.grid(True)
# Plot Signal Level
plt.subplot(3, 1, 2)
plt.plot(time[:l-1], signal_levels, label="Signal Level (dB)", color="orange")
plt.xlabel("Time (seconds)")
plt.ylabel("Signal Level (dB)")
plt.title("Signal Level Between Satellite and Drone Over Time")
plt.legend()
plt.grid(True)
# Plot Distance
plt.subplot(3, 1, 3)
plt.plot(time[:l], distances, label="Distance (km)", color="blue")
plt.xlabel("Time (seconds)")
plt.ylabel("Distance (km)")
plt.title("Distance Between Satellite and Drone Over Time")
plt.legend()
plt.grid(True)
plt.tight_layout()
# plt.show()
# Export in csv
filename = 'trajectoire_dronnne.csv'
rows = zip(time[:l-1], drone_x, drone_y, drone_z, drone_velocities[0], drone_velocities[1], drone_velocities[2])
with open(filename, mode='w', newline='') as file:
writer = csv.writer(file)
writer.writerow(['Time (s)', 'pos x', 'pos y', 'pos z', 'vit x', 'vit y', 'vit z'])
writer.writerows(rows)
print(f"Les données ont été exportées dans le fichier '{filename}'.")
# Export in csv
filename = 'modele1_doppler_level.csv'
rows = zip(time[:l-1], doppler_shifts, signal_levels)
with open(filename, mode='w', newline='') as file:
writer = csv.writer(file)
writer.writerow(['Time (s)', 'Doppler shift (kHz)', 'Attenuation (dB)'])
writer.writerows(rows)
print(f"Les données ont été exportées dans le fichier '{filename}'.")
# Coordenadas iniciais e finais
initial_lat, initial_lon = 45.7772, 3.0870 # Clermont-Ferrand, França
final_lat, final_lon = -34.8796, 138.5943 # Adélaïde, Australia
initial_altitude = 0.3 # Altitude inicial do drone em km (300 m)
# Definindo o número de pontos para a trajetória do drone
num_points = len(satellite_x) # Correspondendo ao número de pontos do satélite
# Função para interpolar latitude e longitude ao longo da trajetória
def interpolate_trajectory(start_lat, start_lon, end_lat, end_lon, num_steps):
lats = np.linspace(start_lat, end_lat, num_steps)
lons = np.linspace(start_lon, end_lon, num_steps)
return lats, lons
# Gerar latitudes e longitudes interpoladas para o drone
drone_lats, drone_lons = interpolate_trajectory(initial_lat, initial_lon, final_lat, final_lon, num_points)
# Listas para armazenar a trajetória do drone em coordenadas cartesianas
drone_x, drone_y, drone_z = [], [], []
# Converter a trajetória do drone para coordenadas cartesianas e adicionar altitude
for lat, lon in zip(drone_lats, drone_lons):
x, y, z = latlonalt_to_cartesian(lat, lon, initial_altitude)
drone_x.append(x)
drone_y.append(y)
drone_z.append(z)
# Criar a figura e o eixo 3D para visualização
fig = plt.figure(figsize=(10, 7))
ax = fig.add_subplot(111, projection='3d')
# Plotar a Terra como uma esfera
u, v = np.mgrid[0:2*np.pi:100j, 0:np.pi:50j]
earth_x = earth_radius * np.cos(u) * np.sin(v)
earth_y = earth_radius * np.sin(u) * np.sin(v)
earth_z = earth_radius * np.cos(v)
ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
# Plotar a trajetória do satélite
ax.plot(satellite_x, satellite_y, satellite_z, color='red', label='Satellite Trajectory')
# Plotar a trajetória do drone
ax.plot(drone_x, drone_y, drone_z, color='green', label='Drone Trajectory')
# Definir limites e rótulos
ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
ax.set_xlabel("X (km)")
ax.set_ylabel("Y (km)")
ax.set_zlabel("Z (km)")
ax.set_title("3D Trajectory of Satellite and Drone from Clermont-Ferrand to Adélaïde")
ax.legend()
# plt.show()
import matlab.engine
print("Initialisation du moteur Matlab...")
eng = matlab.engine.start_matlab()
try:
print("Exécution du script 'generatescript'...")
eng.generate_frame_single_packet(nargout=0)
print("Script 'generatescript' exécuté avec succès.")
except Exception as e:
print(f"Erreur lors de l'exécution du script 'generatescript':\n{e}")
finally:
print("Arrêt du moteur Matlab...")
eng.quit()
print("Moteur Matlab arrêté avec succès.")
payload_generation/modele1_doppler_level.csv 0 → 100644
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payload_generation/satellite_drone_movement_fast.gif 0 → 100644
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payload_generation/satellite_drone_movement_fast.gif

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payload_generation/simulator.py 0 → 100644
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import tkinter as tk
from tkinter import messagebox
from PIL import Image, ImageTk
import subprocess
def run_simulation():
try:
# Exécute le script Python
subprocess.run(["python", "final_simulation.py"], check=True)
messagebox.showinfo("Succès", "Simulation terminée avec succès !")
open_gif()
except subprocess.CalledProcessError as e:
messagebox.showerror("Erreur", f"Erreur lors de l'exécution du script :\n{e}")
except FileNotFoundError:
messagebox.showerror("Erreur", "Le fichier 'final_simulation.py' est introuvable.")
def open_gif():
gif_window = tk.Toplevel()
gif_window.title("Mouvement du Satellite et du Drone")
gif_window.geometry("800x600")
gif_label = tk.Label(gif_window)
gif_label.pack()
gif_image = Image.open("satellite_drone_movement_fast.gif")
gif_frames = [ImageTk.PhotoImage(gif_image.copy().convert("RGBA")) for _ in range(gif_image.n_frames)]
gif_image.seek(0)
def update_frame(frame_index):
gif_label.config(image=gif_frames[frame_index])
gif_window.after(50, update_frame, (frame_index + 1) % len(gif_frames))
update_frame(0)
# Configuration de la fenêtre principale
def main():
root = tk.Tk()
root.title("Simulateur d'Effet Doppler")
# Configurer la fenêtre
root.geometry("400x300")
# Ajouter un titre
title_label = tk.Label(root, text="Simulateur d'Effet Doppler", font=("Helvetica", 16, "bold"))
title_label.pack(pady=20)
# Ajouter un bouton pour exécuter le script
run_button = tk.Button(root, text="Exécuter la Simulation", command=run_simulation, font=("Helvetica", 12))
run_button.pack(pady=20)
# Afficher la fenêtre
root.mainloop()
if __name__ == "__main__":
main()
payload_generation/trajectoire_dronnne.csv 0 → 100644
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Time (s),pos x,pos y,pos z,vit x,vit y,vit z
0,4443.142140905496,239.27194450131088,4572.268239318893,-0.016033576764129975,-0.016038019472034648,-0.016042462161749427
1,4443.126107328731,239.4729866145647,4572.273294878133,0.2010421132538056,0.20104187380337635,0.20104163415194876
2,4443.110069309259,239.67402848836807,4572.278345865529,0.005055559239735885,0.005050987396316486,0.005046415550168604
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