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1、哈尔滨工业大学工学硕士学位论文AbstractDetectionprobabilityandfalsealarmprobabilityaredeterminedbythethresholdofsignalprocessingsubsystem.Therefore,trackerperformance,whichisafunctionofdetectionprobabilityandfalsealarmprobability,dependsondetectionthresholds.Traditionally，thethresholdistypicallysetbychoosingadesig
2、npointontheapplicablereceiveroperatingcharacteristic(ROC)curve,basedontheperceivedtradeoffsbetweenfalsealarmsprobabilityanddetectionprobability.However,tothebestofourknowledge,thesetradeoffshaveneverincludedanysystematicorquantitativeconsiderationoftheeffectsdownstreamondataassociationandtrackingpe
3、rformance.Thisdoesnotpromisethejointoptimizationofdetectionandtrackingsystem.So,theresultsfromthetrackingsystemshouldbeincorporatedintothedetectionprocess,makingtheoverallsystemoptimizedbyselectingthedetectionthreshold.Thisarticleismainlyaboutjointoptimizationofdetectionandtracking,sodetectormodela
4、ndtrackingalgorithms,usedinthejointoptimization,ispresented,andthreejointoptimizationalgorithmsofdetectionandtrackingisintroducedintermsoftheoryderivation,detailedsimulationanalysisandcomparison.Firstly，underthehomogeneousexponentialclutterbackground,thedetectormodelforaSwerlingⅡtargetandsinglepuls
5、esquare-lawdetection,usingcell-averagingconstantfalsealarmrate(CA-CFAR)andorderstatisticsconstantfalsealarmrate(OS-CFAR)respectively,isobtained.Then，fivedifferenttargetfluctuationmodelsandrespoundingSwerlingcurveareintroduced.Secondly,twoclassicaltrackingalgorithms,whicharekalmanfilterandprobabilit
6、ydataassociationfilter,arepresented.Jointoptimizationofdetectionandtrackingisthecoresubjectofthispaper,threepartsarefollowed:1.Priordetectionthresholdoptimization.Simulationsonthreesituationsareanalyzed.Thesethreesituationsareclutterpowerknown,clutterpowerunknownusingCA-CFARandclutterpowerunknownus
7、ingOS-CFAR.Allthesituationsaresimulatedandcompared.ItisshownthatCA-CFARissuitableforsingletargetunderhomogeneousradarclutterenvironment,andOS-CFARispoorunderthis-II-哈尔滨工业大学工学硕士学位论文environment.2.Hybridcondit
