简介：Thehighresolutionradartargetdetectionisaddressedinthenon-Gaussianclutter.Anadaptivedetectorisderivedforrange-spreadtargetbasedonanovelcovariancematrixestimator.Itisprovedthatthenewdetectorisconstantfalsealarmrate(CFAR)tobothofthecluttercovariancematrixstructureandpowerleveltheoreticallyformatchcases.ThesimulationresultsshowthatthenewdetectorisalmostCFARformismatchcases,anditoutperformstheexistingadaptivedetectorbasedonthesamplecovariancematrix.Italsoshowsthatthedetectionperformanceimproves,asthenumberofpulses,thenumberofsecondarydataortheclutterspikeincreases.Inaddition,thederiveddetectorisrobusttodifferentsubsets,estimatedcluttergroupsizesandcorrelationsofclutter.Importantly,thenumberofiterationsforpracticalapplicationisjustone.
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