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1、MlO.11ANEWAPPROACHTONEAROPTIMUMMTIFILTERDESIGNUSINGADAPTIVETECHNIQUESQiTuZhangCommunicationsResearchLaboratoryMcMasterUniversityHamilton,OntarioL8S4L7CanadaABSTRACTToimprovetheperformanceoftheMTDinthispaper,wepresentanewapproachtoprocessor,weconsiderinthispaperanewmovinqanearoptimumMT1filte
2、rdesignusingadaptivetargetdetectionalgorithmresortingadaptivetechniques.Theresultlngschemeconsistsofantechniques,whichenabletheMTIfiltertoadapttoadaptivewhiteningfilterforradarclutteranonstationaryradarenvironmentandprovideaforlowedbyaIikelihoodratiot.est(LRT)fornearoptimumperformance.targe
3、tsignalinwhitenoise.Acompleteprocedureisdevelopedforthewhiteningfilterdesign.TheLKTmayoperateeitherw1t.horwithoutaclutter11.ANASYMPTOTlCSTRULTUREpowermap.ToqainaninsiqhtintothefunctionsThedetectionperformanceofthenewschemeperformedbytheoptimumMTlfilter,weexpresstheisevaluatedusingrealradard
4、ata.Whenfilterinthefrequencydomain.operatingwithaclut.termap,itprovides7.5d8averageperformanceimprovementovertheLetXk(ijbethecomplex-valuedbasebandinnovations-baseddetectionalgorithm(IBDA)forcoherentradarsampleobtainedfromtheresolutiongroundclutter-dominateddataand5dhImprovementcellcorrespo
5、ndinqtorangekandazimuth(ortimeforweatherclutter.Andthelatterhasbeenindex)I.Denoteitsinterferenceandtargetdemonstratedtobesuperiortotheclassicalcomponentbyck(i)andSk(i)respectively.SUP-moving-target-detection(MTD)by3to5dB.posewearegivensamplesxk(i),i=-n,...,n.Lets=ls(-n),...,s(n,Iandc=tck(-n
6、),...,Ck(nj1,whereTdenotesthetransposition.ThentheI.1NTRODUCTlUNoptimumMTIfiltrisqivenbyr31Amodernradarsignalprocessorconsistsofthreeprocessingcomponents,namely,amovinqtargetindication(MTI)filter,aconstantfalse-alarmrate(CFAK)processorandadataprocessor.wherey=rwt-n),...,w(n)ITandBistheTheop
7、timumMTIfilter,obtainedbymaximizinqtheinterferencecovariancematrixwithitselementssignal-to-interferenceratio(SlR)atthefilterdeterminedbyoutput,isusuallyimplementedasatransversalfilterwhosetapweightvectoristheinverseofr(t-T)=E[Ck(t)CL(T)1t,I&[-n,n],rnterf
