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基于单次快拍的双基地MIMO雷达多目标角度估计方法.docx

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基于单次快拍的双基地MIMO雷达多目标角度估计方法 Title:Multi-targetAngleEstimationMethodforDual-BaseMIMORadarbasedonSingleSnapshot Abstract: Multiple-inputmultiple-output(MIMO)radarsystemshaveshowngreatpotentialintargetdetection,localization,andtrackingduetotheirabilitytosimultaneouslytransmitmultiplewaveformsandreceivemultipleechoes.Inthispaper,weproposeamulti-targetangleestimationmethodfordual-baseMIMOradarbasedonasinglesnapshot.Theproposedmethodtakesadvantageofthespatialdiversityandcoherenceofthereceivedsignalsatthetwobasestationstoaccuratelyestimatetheanglesofmultipletargets.Theperformanceoftheproposedmethodisevaluatedthroughextensivesimulations,demonstratingitseffectivenessinmulti-targetangleestimation. 1.Introduction TheadvancementsinMIMOradartechnologyhaverevolutionizedradarsystems,enablingbetterperformanceintermsoftargetdetectionandlocalization.Bytransmittingmultiplewaveformsandexploitingthespatialdiversityofthereceivedsignals,MIMOradarsystemscanovercomethelimitationsoftraditionalradarsystems.OnecrucialtaskinMIMOradarsystemsistheaccurateestimationoftheanglesofmultipletargets.Inthispaper,wefocusontheproblemofmulti-targetangleestimationfordual-baseMIMOradarusingasinglesnapshot. 2.SystemModel Inourproposedsystemmodel,weconsideradual-baseMIMOradarsystemconsistingoftwobasestations,eachequippedwithmultipleantennas.Thebasestationstransmitindependentwaveformssimultaneously,andtheechoesfromthetargetsarereceivedattheantennas.Thereceivedsignalsateachbasestationformavirtualarray,whichcanbeusedtoestimatethetargetangles. 3.AngleEstimationMethod Theproposedangleestimationmethodutilizesthespatialdiversityandcoherenceofthereceivedsignalsatthetwobasestations.Firstly,thereceivedsignalsateachbasestationareprocessedtoformavirtualarray.Then,themultipletargetsaredetectedusingasuitabledetectionalgorithm.Theanglesofthedetectedtargetsareestimatedusingahigh-resolutionangleestimationtechnique,suchasMUSICorESPRIT.Finally,theestimatedanglesfrombothbasestationsarecombinedtoobtainmoreaccurateangleestimates. 4.Pe