Adaptive detection of wideband radar range spread targets with range walking in clutter

Adaptive detection of wideband radar range spread targets with range walking in clutter

ID:39772478

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頁數(shù):13頁

時(shí)間:2019-07-11

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1、I.INTRODUCTIONAdaptiverangespreadtargetdetectionforwidebandradarinaclutterbackgroundisreceivingAdaptiveDetectionofincreasingattentionintheradarcommunity.WhenradartransmitswidebandwaveformsanditsrangeWidebandRadarRangeresolutionissmallerthanthetargetsize,thetargetreturnso

2、ccupymultiplecontiguousrangecells,SpreadTargetswithRangewhichisreferredtoasahighrangeresolutionprofile(HRRP).ThetargetiscalledtherangespreadtargetWalkinginClutterintheliterature.Inclutterenvironments,widebandradarwithwell-designeddetectorscanobtainimprovedtargetdetection

3、performancecomparedtothatofnarrowbandradar,becausehighrangeresolutionreducestheamountoftheenergyperrangeFENGZHOUDAIcellbackscatteredfromthedistributedclutterandHONGWEILIU,MemberIEEEPENGLANGSHUI,MemberIEEEresolvedtargetscatterershavelessradarcross-sectionSHUNJUNWU,SeniorM

4、ember,IEEEfluctuationthananunresolvedtarget[1].ItwasXidianUniversityalsopointedoutthatwidebandradarachievestheChinabestdetectionperformancewhenthebandwidthoftransmittedwaveformsjustresolvetheindividualdominantscatterersofatarget.GaussianassumptionbasedonthecenterlimitInt

5、hispaper,weaddressdetectionofrangespreadtargetstheoremisunsuitableformodelingwidebandradarwithrangewalkinginpartiallyhomogeneousclutter,whichisclutter.Thewidelyusednon-Gaussiancluttermodeloftenencounteredinwidebandradar.Byconsideringthetargetforwidebandradarismodeledasth

6、eproductofarangewalkingeffect,atargetreturnsmodelisproposedthatspatial-temporal,slowlyvarying,nonnegativerandomrepresentstherelationshipbetweenDopplerfrequencyandrangevariableandarapidlyvarying,complexGaussianfrequency.Basedonthis,ageneralizedmatchedsubspacedetectorvecto

7、r.Thenonnegativerandomvariableisreferredto(GMSD)andageneraladaptivesubspacedetector(GASD)areasthetexturecomponent,andthecomplexGaussianproposedinthefrequencydomain.Moreover,toeliminateexcessvectorisconsideredthespecklecomponent[2].Theintegrationlossintroducedbythemismatc

8、heddetectionwindowpartiallyhomogeneousclutterisaspecialinstancesize,twoimproveddetectorsareproposedinra

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