GNSS中频信号仿真及弱信号接收算法研究的开题报告Title:中频信号仿真及弱信号接收算法研究Background:GlobalNavigationSatelliteSystem(GNSS)isnowwidelyusedforprecisepositioning,navigation,andtiming.However,insomescenarios,suchasindoorenvironmentsorurbancanyons,theGNSSsignalsareoftenweakenedorevenblocked,whichresultsindegradedpositioningaccuracy.Tomitigatethisproblem,varioussignalprocessingtechniqueshavebeenproposed,suchasadaptivefiltering,multi-pathmitigation,andweaksignaltracking.However,theirperformanceheavilyreliesontheaccuracyofsignalsimulationandtherobustnessofweaksignaldetection,whicharecomplicatedandchallengingtasks.Objective:ThemainobjectiveofthisresearchistodevelopanaccurateandrobustsignalsimulationplatformforGNSSintermediatefrequency(IF)signalsandinvestigateeffectiveweaksignaltrackingalgorithmsforenhancedpositioningaccuracyinchallengingenvironments.Methods:Theproposedresearchconsistsoftwomainparts:(1)IFsignalsimulationand(2)weaksignaldetectionandtracking.TheIFsignalsimulatorisexpectedtogeneraterealisticGNSSsignalsthataresubjecttodifferentinterferenceandfadingeffects.Toachievethis,thesimulatorshouldconsiderthedynamicsofGNSSsatellites,theeffectsofionosphereandtroposphere,andtheindoorandoutdoorpropagationcharacteristics.Severalsimulationtoolswillbeevaluated,suchasMATLAB,Simulink,andGNSS-Simu.Ontheotherhand,theweaksignaldetectionandtrackingalgorithmswillbedevelopedandevaluatedusingthesimulatedsignalsindifferentscenarios.Severaltechniqueswillbeinvestigated,suchastime-frequencyanalysis,adaptivefiltering,anddeeplearning-basedapproaches,withspecialattentiontolow-complexityandreal-timeimplementations.Expectedoutcomes:Theexpectedoutcomesofthisresearcharetwofold:(1)anaccurateandflexibleIFsignalsimulatorforGNSSreceiverresearchanddevelopmentand(2)effectiveweaksignaltrackingalgorithmsforimprovingpositioningaccuracyinchallengingenvironments.ThesimulationresultswillbecomparedwiththerealGNSSsignalsintermsofsignalqualitymetricsandpositioningaccuracy.Moreover,theproposedtrackingalgorithmswillbecomparedwithstat