[2002]Particle Filters for Tracking an Unknown Number of Sources.pdf

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1、2926IEEETRANSACTIONSONSIGNALPROCESSING,VOL.50,NO.12,DECEMBER2002ParticleFiltersforTrackinganUnknownNumberofSourcesJean-RenéLarocque,Member,IEEE,JamesP.Reilly,Member,IEEE,andWilliamNg,StudentMember,IEEEAbstract—Thispaperaddressestheapplicationofsequentialim-Inrecent

2、years,therehavebeenseveralmethodsdevelopedportancesampling(SIS)schemestotrackingdirectionsofarrivalforestimatingortrackingtheDOAsofmovingtargetsusing(DOAs)ofanunknownnumberofsources,usingapassivearraypassivesensorsorarraysofsensors,e.g.,[9]–[11],etc.Liketheofsensor

3、s.Thisproposedtechniquehassignificantadvantagesinhigh-resolutionmethods,theseapproachesalsoassumethetar-thisapplication,includingtheabilitytodetectachangingnumberofsignalsatarbitrarytimesthroughouttheobservationperiodandgetsarestationaryoveralimitedtimeinterval.The

4、approachthattherequirementforquasistationarityoveralimitedintervalin[10]isbasedonadaptivelyestimatinganoisesubspacebasismayberelaxed.fromthereceivedsignalcovariancematrix.ThesemethodsthenWeproposetheuseofareversiblejumpMonteCarloMarkovrelyonahigh-resolutiontechniqu

5、esuchasMUSIC[5]toesti-chain(RJMCMC)steptoenhancethestatisticaldiversityofthematedthedesiredDOAs.In[9],amethodbasedonmaximumparticles.Thisstepalsoenablesustointroducetwonovelmovesthatsignificantlyenhancetheperformanceofthealgorithmwhenlikelihoodestimationofanovelsta

6、te-spacerepresentationfortheDOAtrackscross.Thesuperiorperformanceofthemethodistrackingispresented.demonstratedbyexamplesofapplicationoftheparticlefiltertoAnimportantconsiderationintargettrackingproblemsisthesequentialtrackingoftheDOAsofanunknownandnonstationarydata

7、associationproblem,i.e.,theassociationoftrackswithnumberofsourcesandtoascenariowherethetargetscross.Ourmeasurements.InthecasewherepassivearraysofsensorsareresultsarecomparedwiththePASTdmethod.used,thedataassociationproblemreducestotheassociationIndexTerms—Arraysign

8、alprocessing,Bayesianestimation,oftargetsbeforeandaftertheirDOAtrackscrosseachother.modelorderdetection,particlefilters,tracking.In[11],amethodfo