Knowledge (XXG)

Landing footprint

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1357: 1069: 877: 1274: 1064:{\displaystyle z={\sqrt {\chi _{2}^{2}(p)}}{\begin{pmatrix}\cos \theta \\\sin \theta \end{pmatrix}}\Rightarrow x(\theta )=\mu +{\sqrt {\chi _{2}^{2}(p)}}\Sigma ^{1/2}{\begin{pmatrix}\cos \theta \\\sin \theta \end{pmatrix}}} 1448:
Golombek, M.; Kipp, D.; Warner, N.; Daubar, I. J.; Fergason, R.; Kirk, R. L.; Beyer, R.; Huertas, A.; Piqueux, S.; Putzig, N. E.; Campbell, B. A.; Morgan, G. A.; Charalambous, C.; Pike, W. T.; Gwinner, K. (2017-10-01).
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have no aerial factors.) By aggregating such numerous variables it is possible to model a spacecraft's landing zone to a certain degree of precision. By simulating entry under varying conditions an
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and is the definition of the chi-squared statistic used to construct the resulting distribution. So for the bivariate Gaussian distribution, the boundary of the ellipse at a given percentile is
763: 869: 701: 820: 523: 1113: 336: 138: 1332: 461: 1151: 421: 1301: 1175: 386: 358: 1321: 551: 488: 57:, the landing point of a spacecraft will depend upon the degree of control (if any), entry angle, entry mass, atmospheric conditions, and drag. (Note that 17: 1183: 1432: 154: 559: 464: 145: 1504: 1154: 1494: 1323:
then define the landing footprint for a given level of confidence, which is expressed through the choice of percentile.
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can be calculated; the size of the ellipse represents the degree of uncertainty for a given
28: 343: 1306: 536: 473: 361: 1488: 144:. It is commonly assumed that the resulting distribution of landing sites follows a 84:
To create a landing footprint for a spacecraft, the standard approach is to use the
1403:"Stardust Entry: Landing and Population Hazards in Mission Planning and Operations" 1342: 1337: 364: 1269:{\displaystyle \Sigma =V\Lambda V^{T}\implies \Sigma ^{1/2}=V\Lambda ^{1/2}V^{T}} 424: 66: 1402: 1401:
Tooley, Jeff; Lyons, Daniel; Desai, Prasun; Wawrzyniak, Geoffrey (2006-08-21).
1466: 1352: 468: 50: 1474: 1423: 101: 1379: 105: 62: 58: 1414: 141: 69: 41: 823: 287:{\displaystyle f(x)={\frac {1}{2\pi {\sqrt {|\Sigma |}}}}\exp \left} 525:
with a multivariate Gaussian joint distribution, the square of the
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from the numerical simulations, an ellipse can be calculated for a
634:{\displaystyle (x-\mu )^{T}\Sigma ^{-1}(x-\mu )\sim \chi _{n}^{2}} 15: 1407:
AIAA/AAS Astrodynamics Specialist Conference and Exhibit
1409:. American Institute of Aeronautics and Astronautics. 1028: 920: 1309: 1289: 1186: 1163: 1124: 1080: 880: 832: 771: 709: 650: 562: 539: 496: 476: 437: 399: 374: 346: 306: 157: 114: 338:
is the vector containing the longitude/latitude pair
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List of landing ellipses on extraterrestrial bodies
1315: 1295: 1268: 1169: 1145: 1107: 1063: 863: 814: 757: 695: 633: 545: 517: 482: 455: 415: 380: 352: 330: 286: 132: 53:'s landing zone on an astronomical body. After 96:and atmospheric parameters, solve the reentry 758:{\displaystyle Q=z_{1}^{2}+\cdots +z_{n}^{2}} 8: 490:. It is known that for a real-valued vector 1213: 1209: 864:{\displaystyle {\sqrt {\chi _{2}^{2}(p)}}} 1422: 1308: 1288: 1260: 1246: 1242: 1222: 1218: 1203: 1185: 1162: 1133: 1129: 1123: 1079: 1023: 1013: 1009: 988: 983: 977: 915: 898: 893: 887: 879: 844: 839: 833: 831: 797: 792: 776: 770: 749: 744: 725: 720: 708: 668: 661: 649: 625: 620: 589: 579: 561: 538: 509: 505: 504: 495: 475: 436: 408: 400: 398: 373: 345: 305: 255: 245: 219: 195: 187: 185: 173: 156: 113: 696:{\displaystyle z=\Sigma ^{-1/2}(x-\mu )} 644:This can be seen by defining the vector 1451:"Selection of the InSight Landing Site" 1370: 815:{\displaystyle z^{T}z=\chi _{2}^{2}(p)} 1157:of the covariance matrix, from which 518:{\displaystyle x\in \mathbb {R} ^{n}} 7: 1108:{\displaystyle \theta \in [0,2\pi )} 826:centered at the origin with radius 1290: 1239: 1215: 1196: 1187: 1164: 1126: 1006: 658: 586: 447: 405: 375: 331:{\displaystyle x=(\lambda ,\phi )} 252: 192: 14: 1378:Lakdawalla, Emily (13 May 2008). 1355: 133:{\displaystyle (\lambda ,\phi )} 146:bivariate Gaussian distribution 1210: 1102: 1087: 1000: 994: 965: 959: 953: 910: 904: 856: 850: 809: 803: 690: 678: 610: 598: 576: 563: 456:{\displaystyle (\mu ,\Sigma )} 450: 438: 409: 401: 325: 313: 276: 264: 242: 229: 196: 188: 167: 161: 127: 115: 1: 1146:{\displaystyle \Sigma ^{1/2}} 871:, leading to the equations: 1521: 1467:10.1007/s11214-016-0321-9 416:{\displaystyle |\Sigma |} 20:The landing footprint of 1296:{\displaystyle \Lambda } 1155:eigenvalue decomposition 531:chi-squared distribution 427:of the covariance matrix 100:, and catalog the final 94:initial entry conditions 80:Mathematical explanation 1382:. The Planetary Society 1283:lie on the diagonal of 1170:{\displaystyle \Sigma } 381:{\displaystyle \Sigma } 1317: 1297: 1270: 1171: 1153:can be found from the 1147: 1109: 1065: 865: 816: 759: 697: 635: 547: 519: 484: 457: 417: 382: 354: 332: 288: 134: 31: 29:Meridiani Planum, Mars 1505:Statistical intervals 1455:Space Science Reviews 1318: 1298: 1271: 1172: 1148: 1110: 1066: 866: 817: 760: 698: 636: 548: 520: 485: 458: 418: 383: 355: 333: 289: 135: 19: 1495:Spaceflight concepts 1307: 1287: 1184: 1161: 1122: 1078: 878: 830: 824:equation of a circle 769: 707: 648: 560: 553:degrees of freedom: 537: 527:Mahalanobis distance 494: 474: 435: 431:Once the parameters 397: 372: 353:{\displaystyle \mu } 344: 304: 155: 112: 1415:10.2514/6.2006-6412 1177:can be written as: 993: 903: 849: 802: 754: 730: 630: 98:equations of motion 74:confidence interval 47:area of uncertainty 1363:Spaceflight portal 1313: 1293: 1266: 1167: 1143: 1117:matrix square root 1115:is the angle. The 1105: 1061: 1055: 979: 947: 889: 861: 835: 812: 788: 755: 740: 716: 693: 631: 616: 543: 515: 480: 453: 413: 378: 350: 328: 284: 130: 86:Monte Carlo method 32: 1500:Atmospheric entry 1434:978-1-62410-048-2 1380:"Landing Ellipse" 1316:{\displaystyle x} 1003: 913: 859: 703:, which leads to 546:{\displaystyle n} 483:{\displaystyle p} 390:covariance matrix 227: 203: 200: 55:atmospheric entry 36:landing footprint 1512: 1479: 1478: 1445: 1439: 1438: 1426: 1424:2060/20070022844 1398: 1392: 1391: 1389: 1387: 1375: 1365: 1360: 1359: 1358: 1322: 1320: 1319: 1314: 1303:. The values of 1302: 1300: 1299: 1294: 1275: 1273: 1272: 1267: 1265: 1264: 1255: 1254: 1250: 1231: 1230: 1226: 1208: 1207: 1176: 1174: 1173: 1168: 1152: 1150: 1149: 1144: 1142: 1141: 1137: 1114: 1112: 1111: 1106: 1070: 1068: 1067: 1062: 1060: 1059: 1022: 1021: 1017: 1004: 992: 987: 978: 952: 951: 914: 902: 897: 888: 870: 868: 867: 862: 860: 848: 843: 834: 821: 819: 818: 813: 801: 796: 781: 780: 764: 762: 761: 756: 753: 748: 729: 724: 702: 700: 699: 694: 677: 676: 672: 640: 638: 637: 632: 629: 624: 597: 596: 584: 583: 552: 550: 549: 544: 524: 522: 521: 516: 514: 513: 508: 489: 487: 486: 481: 462: 460: 459: 454: 422: 420: 419: 414: 412: 404: 387: 385: 384: 379: 359: 357: 356: 351: 337: 335: 334: 329: 293: 291: 290: 285: 283: 279: 263: 262: 250: 249: 228: 220: 204: 202: 201: 199: 191: 186: 174: 139: 137: 136: 131: 38:, also called a 1520: 1519: 1515: 1514: 1513: 1511: 1510: 1509: 1485: 1484: 1483: 1482: 1447: 1446: 1442: 1435: 1400: 1399: 1395: 1385: 1383: 1377: 1376: 1372: 1361: 1356: 1354: 1351: 1329: 1305: 1304: 1285: 1284: 1256: 1238: 1214: 1199: 1182: 1181: 1159: 1158: 1125: 1120: 1119: 1076: 1075: 1054: 1053: 1041: 1040: 1024: 1005: 946: 945: 933: 932: 916: 876: 875: 828: 827: 772: 767: 766: 705: 704: 657: 646: 645: 585: 575: 558: 557: 535: 534: 503: 492: 491: 472: 471: 433: 432: 395: 394: 370: 369: 342: 341: 302: 301: 251: 241: 215: 211: 178: 153: 152: 110: 109: 82: 12: 11: 5: 1518: 1516: 1508: 1507: 1502: 1497: 1487: 1486: 1481: 1480: 1440: 1433: 1393: 1369: 1368: 1367: 1366: 1350: 1347: 1346: 1345: 1340: 1335: 1328: 1325: 1312: 1292: 1277: 1276: 1263: 1259: 1253: 1249: 1245: 1241: 1237: 1234: 1229: 1225: 1221: 1217: 1212: 1206: 1202: 1198: 1195: 1192: 1189: 1166: 1140: 1136: 1132: 1128: 1104: 1101: 1098: 1095: 1092: 1089: 1086: 1083: 1072: 1071: 1058: 1052: 1049: 1046: 1043: 1042: 1039: 1036: 1033: 1030: 1029: 1027: 1020: 1016: 1012: 1008: 1002: 999: 996: 991: 986: 982: 976: 973: 970: 967: 964: 961: 958: 955: 950: 944: 941: 938: 935: 934: 931: 928: 925: 922: 921: 919: 912: 909: 906: 901: 896: 892: 886: 883: 858: 855: 852: 847: 842: 838: 822:. This is the 811: 808: 805: 800: 795: 791: 787: 784: 779: 775: 752: 747: 743: 739: 736: 733: 728: 723: 719: 715: 712: 692: 689: 686: 683: 680: 675: 671: 667: 664: 660: 656: 653: 642: 641: 628: 623: 619: 615: 612: 609: 606: 603: 600: 595: 592: 588: 582: 578: 574: 571: 568: 565: 542: 512: 507: 502: 499: 479: 452: 449: 446: 443: 440: 429: 428: 411: 407: 403: 392: 377: 367: 362:expected value 349: 339: 327: 324: 321: 318: 315: 312: 309: 295: 294: 282: 278: 275: 272: 269: 266: 261: 258: 254: 248: 244: 240: 237: 234: 231: 226: 223: 218: 214: 210: 207: 198: 194: 190: 184: 181: 177: 172: 169: 166: 163: 160: 129: 126: 123: 120: 117: 81: 78: 13: 10: 9: 6: 4: 3: 2: 1517: 1506: 1503: 1501: 1498: 1496: 1493: 1492: 1490: 1476: 1472: 1468: 1464: 1460: 1456: 1452: 1444: 1441: 1436: 1430: 1425: 1420: 1416: 1412: 1408: 1404: 1397: 1394: 1381: 1374: 1371: 1364: 1353: 1348: 1344: 1341: 1339: 1336: 1334: 1331: 1330: 1326: 1324: 1310: 1282: 1261: 1257: 1251: 1247: 1243: 1235: 1232: 1227: 1223: 1219: 1204: 1200: 1193: 1190: 1180: 1179: 1178: 1156: 1138: 1134: 1130: 1118: 1099: 1096: 1093: 1090: 1084: 1081: 1056: 1050: 1047: 1044: 1037: 1034: 1031: 1025: 1018: 1014: 1010: 997: 989: 984: 980: 974: 971: 968: 962: 956: 948: 942: 939: 936: 929: 926: 923: 917: 907: 899: 894: 890: 884: 881: 874: 873: 872: 853: 845: 840: 836: 825: 806: 798: 793: 789: 785: 782: 777: 773: 750: 745: 741: 737: 734: 731: 726: 721: 717: 713: 710: 687: 684: 681: 673: 669: 665: 662: 654: 651: 626: 621: 617: 613: 607: 604: 601: 593: 590: 580: 572: 569: 566: 556: 555: 554: 540: 532: 528: 510: 500: 497: 477: 470: 466: 444: 441: 426: 393: 391: 368: 366: 363: 347: 340: 322: 319: 316: 310: 307: 300: 299: 298: 280: 273: 270: 267: 259: 256: 246: 238: 235: 232: 224: 221: 216: 212: 208: 205: 182: 179: 175: 170: 164: 158: 151: 150: 149: 147: 143: 124: 121: 118: 107: 103: 99: 95: 91: 90:distributions 87: 79: 77: 75: 71: 68: 64: 60: 56: 52: 48: 44: 43: 37: 30: 26: 24: 18: 1458: 1454: 1443: 1406: 1396: 1384:. Retrieved 1373: 1343:Moon landing 1338:Mars landing 1278: 1073: 643: 430: 423:denotes the 296: 88:to generate 83: 39: 35: 33: 22: 1461:(1): 5–95. 1281:eigenvalues 425:determinant 23:Opportunity 1489:Categories 1349:References 1279:where the 469:percentile 51:spacecraft 1475:1572-9672 1291:Λ 1240:Λ 1216:Σ 1211:⟹ 1197:Λ 1188:Σ 1165:Σ 1127:Σ 1100:π 1085:∈ 1082:θ 1051:θ 1048:⁡ 1038:θ 1035:⁡ 1007:Σ 981:χ 972:μ 963:θ 954:⇒ 943:θ 940:⁡ 930:θ 927:⁡ 891:χ 837:χ 790:χ 735:⋯ 688:μ 685:− 663:− 659:Σ 618:χ 614:∼ 608:μ 605:− 591:− 587:Σ 573:μ 570:− 501:∈ 465:estimated 448:Σ 442:μ 406:Σ 376:Σ 348:μ 323:ϕ 317:λ 274:μ 271:− 257:− 253:Σ 239:μ 236:− 217:− 209:⁡ 193:Σ 183:π 142:touchdown 125:ϕ 119:λ 102:longitude 63:asteroids 45:, is the 1327:See also 106:latitude 67:probable 61:and the 59:the Moon 40:landing 388:is the 360:is the 297:where: 70:ellipse 42:ellipse 1473:  1431:  1074:where 529:has a 365:vector 1386:7 May 533:with 108:pair 49:of a 25:rover 1471:ISSN 1429:ISBN 1388:2018 463:are 1463:doi 1459:211 1419:hdl 1411:doi 1045:sin 1032:cos 937:sin 924:cos 206:exp 140:at 92:of 27:on 1491:: 1469:. 1457:. 1453:. 1427:. 1417:. 1405:. 148:: 76:. 34:A 1477:. 1465:: 1437:. 1421:: 1413:: 1390:. 1311:x 1262:T 1258:V 1252:2 1248:/ 1244:1 1236:V 1233:= 1228:2 1224:/ 1220:1 1205:T 1201:V 1194:V 1191:= 1139:2 1135:/ 1131:1 1103:) 1097:2 1094:, 1091:0 1088:[ 1057:) 1026:( 1019:2 1015:/ 1011:1 1001:) 998:p 995:( 990:2 985:2 975:+ 969:= 966:) 960:( 957:x 949:) 918:( 911:) 908:p 905:( 900:2 895:2 885:= 882:z 857:) 854:p 851:( 846:2 841:2 810:) 807:p 804:( 799:2 794:2 786:= 783:z 778:T 774:z 751:2 746:n 742:z 738:+ 732:+ 727:2 722:1 718:z 714:= 711:Q 691:) 682:x 679:( 674:2 670:/ 666:1 655:= 652:z 627:2 622:n 611:) 602:x 599:( 594:1 581:T 577:) 567:x 564:( 541:n 511:n 506:R 498:x 478:p 451:) 445:, 439:( 410:| 402:| 326:) 320:, 314:( 311:= 308:x 281:] 277:) 268:x 265:( 260:1 247:T 243:) 233:x 230:( 225:2 222:1 213:[ 197:| 189:| 180:2 176:1 171:= 168:) 165:x 162:( 159:f 128:) 122:, 116:( 104:/

Index


Opportunity rover
Meridiani Planum, Mars
ellipse
area of uncertainty
spacecraft
atmospheric entry
the Moon
asteroids
probable
ellipse
confidence interval
Monte Carlo method
distributions
initial entry conditions
equations of motion
longitude
latitude
touchdown
bivariate Gaussian distribution
expected value
vector
covariance matrix
determinant
estimated
percentile
Mahalanobis distance
chi-squared distribution
equation of a circle
matrix square root

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