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1、ABSTRACTIIIAbstractRecently,micro-motion,asasignificantcharacteristicinradartargetdetectionandrecognition,hasincurredabroadattentions.Theradartargetmayhavevibrationsorrotationsinadditiontothecenterofmass,whichiscalledmicro-motion.TheDopplerfrequencyproducedbymicro-motioniscalledmicro-Dopple
2、rfrequency.Sincedifferentmicro-motionscanproducedifferentmicro-Doppler,themicro-Doppleristheessentialfeatureofthetarget.Therefore,themicro-Dopplersignatureswithgoodclassificationperformancecanbeextractedfromdifferentmicro-motionsinordertoachieveradartargetrecognition.Thisthesismainlyinvesti
3、gatedhowtomakeuseofthenarrow-bandsignalmicro-Dopplerfeatureofairplane(helicopter,propeller-drivenaircraftandjetplane)tocategorizeaeroplanesintothreekinds.Themaincontentsareasfollows:Firstly,thepaperintroducestheconceptionsofmicro-Dopplerandmicro-motion,andgivesbriefreviewsoftheresearchbackg
4、roundofairplanetargetclassificationusingmicro-Dopplerfeature.Thesecondchapterdescribesthetheoreticalbasisoftheresearchwork.First,thispaperdeducestherotary-wingparametermodelsincludingtheline-modelandthesurface-model,andmakesadetailedanalysisoftheeffectoftherotary-wingstructure,theflightatti
5、tudeandtheradarparametersontheparametermodels.Thethirdchaptermakesadeepstudyofaclassificationalgorithmbasedonmicro-motionfeatureofthethreetypesofaircraft.Becausethemicro-motionmodulationpropertyiscloselyrelatedtocarrierfrequency,thepaperanalyzestheradarparametersofrequirementsunderthediffer
6、entbands,andverifiesthefeasibilityofthealgorithm.Todealwiththetarget-aspectsensitivityofthemicro-Dopplerfeature,aclassificationalgorithmbasedontheangular-sectorsegmentationisgiveninthefourthchapter.Keyword:Micro-motion,Micro-Doppler,Eigenvaluespectrum,Targetclassification,Angular-sectorsegm
7、entation目录V目录摘要.....................................................................................................................................IAbstract.................................................................................................
