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基于块稀疏的超宽带FMCW雷达ISAR大转角成像（英文）.docx

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基于块稀疏的超宽带FMCW雷达ISAR大转角成像（英文） Introduction Theuseofwidebandfrequency-modulatedcontinuous-wave(FMCW)radartechnologyhasbecomeincreasinglypopularinrecentyearsduetoitsabilitytogeneratehigh-resolutionimagesoftargets.Itisparticularlyusefulinimagingapplications,suchasinversesyntheticapertureradar(ISAR),whereitcanbeusedtoproduce2Dor3Dimagesofmovingtargetsinreal-time.OneofthemainchallengesinISARimagingisachievingahighimageresolutionwhilesimultaneouslycapturingalargefieldofview.ThispaperpresentsanovelapproachforISARimagingusingblocksparsitybasedonultra-widebandFMCWradartechnology. Background ISARimaginghasbeenextensivelyresearchedinthefieldofradarimaging,particularlyfortargetrecognitionandidentification.Itinvolvesprocessinghigh-resolutionradarsignals,whicharegeneratedbyreflectingelectromagneticwavesoffamovingtarget,toproducea2Dor3Dimage.Forhigh-resolutionISARimaging,alargerangeoffrequenciesmustbetransmittedandreceivedbytheradarsystem,whichincreasestheamountofdatathatmustbeprocessed.TheuseofFMCWradartechnologyallowsforalargerangeoffrequenciestobetransmittedandreceivedinarelativelyshortperiodoftime,reducingtheamountofdatathatmustbeprocessed.However,anFMCWradarsystem'srangeresolutionisdependentonthelengthofthetransmittedsignal.Thismeansthatradarsystemsthatuseshortpulseshavehighrangeresolution,butlowDopplerresolution.Conversely,radarsystemsthatuselongpulseshavelowrangeresolution,buthighDopplerresolution. Approach ThispaperproposesanovelapproachforISARimagingthatusesblocksparsitybasedonultra-widebandFMCWradartechnology.Theapproachisbasedontheideathatthetarget'sreflectivityfunctionissparseinthefrequencydomain.Bydividingthisfrequencydomainintoblocks,itispossibletoevaluateonlythoseblocksthatcontainsignificanttargetinformation.Thisleadstoasignificantreductionintheamountofdatathatmustbeprocessed,whichinturnleadstoimprovedtargetrecognitionandidentification. Theproposedapproachinvolvesthefollowingsteps: 1.Transmitanultra-widebandFMCWsignaltothetarget. 2.Receivethereflectedsignalusingalarg