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SINSGNSSCNS组合导航自适应容错联邦滤波方法 Title:AdaptiveFault-TolerantFederatedFilteringMethodforSINSGNSSCNSIntegrationNavigation Abstract: TheintegrationofSatellite-basedNavigationSystems(SNS)andSatellite-basedCommunicationandNavigationSystems(CNS)hasbecomeincreasinglycrucialinprovidingaccurateandreliablepositioningandnavigationsolutions.However,thisintegrationprocessispronetovarioussourcesoferrorsandfaults,whichcanadverselyaffectthequalityofnavigationresults.Toovercomethesechallenges,thispaperproposesanadaptivefault-tolerantfederatedfilteringmethodforSINSGNSSCNSIntegrationNavigation. 1.Introduction(150words): Significantadvancementsinsatellite-basedsystemshaveledtotheintegrationofmultiplenavigationsystems,includingSNSandCNS.Thisintegrationhasthepotentialtoenhancetheaccuracy,integrity,availability,andreliabilityofnavigationsolutions.However,theintegrationprocessintroducesnewchallengessuchasinaccurateobservations,signaldegradation,andfaultpropagation.Thispaperaimstodevelopanadaptivefault-tolerantfederatedfilteringmethodfortheintegrationofSINSGNSSCNStoaddressthesechallenges. 2.RelatedWork(200words): ThissectionreviewstheexistingresearchontheintegrationofSNSandCNS,fault-tolerantfilteringalgorithms,andfederatedfilteringapproaches.PreviousstudieshavemainlyfocusedonspecificsubsystemswithinSINSGNSSCNSintegrationandhavenotfullyaddressedthefault-tolerantaspect.Thefault-tolerantfilteringalgorithmsproposedintheliteraturehavelimitationsinadaptabilityandscalability,failingtohandleunforeseenerrorsandfaultsinreal-time.Furthermore,thepotentialoffederatedfilteringinprovidingamorerobustnavigationsolutionhasnotbeenfullyexplored. 3.Methodology(400words): Theproposedadaptivefault-tolerantfederatedfilteringmethodconsistsofthreemainsteps:datapreprocessing,faultdetection,andadaptivefiltering.Indatapreprocessing,rawobservationsandmeasurementsfromSNSandCNSarecombinedtoformaunifiedmeasurementset.Thefaultdetectionmoduleisresponsibleforidentifyingerroneousmeasurements,basedonvariousstatisticalandmodel-basedt