New Results on Linear Prediction for Clutter Cancellation

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1、I.NOMENCLATURECNRClutter-to-noisepowerratio.NewResultsonLinearIFImprovementfactor.MN-dimensioncovariancematrixofglobalPredictionforClutterinterference.M,(N-1)-dimensioncovariancematrixofCancellationinterference.PRFPulserepetitionfrequency.R(N-1)-dimensionvectorofcovariances.SSe

2、tofreceivedtargetsamples.SNRSignal-to-noisepowerratio.A.FARINA,Member,IEEETTapdelay.A.PROTOPAPATdDetectionthreshold.SeleniaS.p.A.x,ithreceivedradarecho.Italy%OptimumlinearpredictionofX,.POne-lagautocorrelationcoefficientofclutter.WVectorofweightsofcluttercanceler.WOptimumsetofw

3、eights.U2Clutterpower.Somemovingtargetindicator(MTI)techniquesarereviewedandthenthosebasedonthelinearpredictiontheoryarefocusedon.II.INTRODUCTIONThecoreofthepaperisthedescriptionoftheeffectsofthepositionofthereferencesampleinanMTIprocessoroncancellingclutterinThetheoryofdetecti

4、ngausefultargetechoembeddedaradarsystem.TheanalysisofthisgeneralizedlinearpredictioninthermalnoiseandclutterwithknownorunknownMTIisbasedontheevaluationofthereceivingoperatingstatisticsiswellestablishedintheliterature,see[I,21ascharacteristics(ROCs),assumingthatthecluttercovaria

5、ncematrixasampleofmanypapersonthetopic.Theschemeisknowna-prioriaswellasthematrixbeingon-lineestimated.Itiscommonlyusedtoprocesstheradarechoesisbuiltaroundafiniteimpulseresponse(FIR)linearfilter.Theshown,byanalyticalevaluationsandMonteCarlosimulations,thatfilterischaracterizedby

6、thelengthNoftheimpulsetheperformanceisgenerallynotverysensitivetothepositionoftheresponseandbytheweightsusedtocombinethereferencesample.Anadditionalanalysisiscarriedouttocompareincomingradarechoes.Inthefollowing,abriefrecalloftheperformanceofthegeneralizedlinearpredictionMTIwit

7、hthethetechniquestocalculatetheweightsisgiven.ThisMTIbasedontheHsiaoapproach.ItisseenthatwhentheprovidesthebasisforlookinginmoredetailintotheinterferenceisformedoftwosuperimposedcluttersourcesthemethodsofcluttercancellationbasedonthelineargeneralizedlinearpredictionMTIsuffers,i

8、nsomecases,severalpredictiontheory.Themainpurposeofthe