A WEIGHTED FEATURE REDUCTION METHOD FOR POWER SPECTRA OF RADAR HRRPS-中国期刊网

摘要 Featurereductionisakeyprocessinpatternrecognition.Thispaperdealswiththefeaturereductionmethodsforatime-shiftinvariantfeature,powerspectrum,inRadarAutomaticTargetRecognition(RATR)usingHigh-ResolutionRangeProfiles(HRRPs).Severalexistingfeaturereductionmethodsinpatternrecognitionareanalyzed,andaweightedfeaturereductionmethodbasedonFisher'sDiscriminantRatio(FDR)isproposedinthispaper.AccordingtothecharacteristicsofradarHRRPtargetrecognition,thisproposedmethodsearchestheoptimalweightvectorforpowerspectraofHRRPsbymeansofaniterativealgorithm,andthusreducesfeaturedimensionality.Comparedwiththemethodofusingrawpowerspectraandsomeexistingfeaturereductionmethods,theweightedfeaturereductionmethodcannotonlyreducefeaturedimensionality,butalsoimproverecognitionperformancewithlowcomputationcomplexity.Intherecognitionexperimentsbasedonmeasureddata,theproposedmethodisrobusttodifferenttestdataandachievesgoodrecognitionresults.

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A WEIGHTED FEATURE REDUCTION METHOD FOR POWER SPECTRA OF RADAR HRRPS

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A WEIGHTED FEATURE REDUCTION METHOD FOR POWER SPECTRA OF RADAR HRRPS

来源期刊

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