简介:
简介:Satelliteconstellationdesignforspaceopticalsystemsisessentiallyamultiple-objectiveoptimizationproblem.Inthiswork,totacklethischallenge,wefirstcategorizetheperformancemetricsofthespaceopticalsystembytakingintoaccountthesystemtasks(i.e.,targetdetectionandtracking).Wethenproposeanewnon-dominatedsortinggeneticalgorithm(NSGA)tomaximizethesystemsurveillanceperformance.Paretooptimalsetsareemployedtodealwiththeconflictsduetothepresenceofmultiplecostfunctions.Simulationresultsverifythevalidityandtheimprovedperformanceoftheproposedtechniqueoverbenchmarkmethods.
简介:Inthedesignproblemoflowearthorbit(LEO)reconnaissancesatelliteconstellation,optimizationofcoverageperformanceisthedesigngoalinmostcurrentmethods.However,intheusingprocess,theuseronlyconcernswiththedetectioncapabilitiesratherthancoverageperformance.Toestablishtherelationshipbetweenthesetwoaspects,thereconnaissanceprocessesofnormalstochastictargetsareconsideredandthemathematicmodelsofdetectionprocessesarebuilt.Theindicatorsofcoverageperformanceareusedtoevaluatethedetectionprobabilityandexpectationofdetectiontimedelay,whichareimportantfactorsinreconnaissanceconstellationestimationviewedfrommilitaryintelligencediscipline.TheconclusionsconfirmedbythefinalsimulationwillbeusefulinLEOreconnaissanceconstellationdesign,optimizationandevaluation.