强海杂波背景下的远距离微弱信号检测

强海杂波背景下的远距离微弱信号检测

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时间:2019-01-30

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1、堕型堕兰型垫叁堂堡±堂堡鲨奎.——ABSTRACTSeaclutteristhebackscatteringechofromtheseasurfacewhichisirradiatedbytheradartransmittedsignal.Astheseaclutterrestrictthedetectionofradarechowhichincludethe··Doint”targetfromtheseasurface(includeships,maritimebuoyageandcivilianfishingboats,etc.),SOt

2、hedetectionofremoteandweaksignalinthestrongseaclutternotonlyhavetheoreticalimportance,butalsohavepracticalimportance.ThispaperbringstheTsallisdistributionintotheseaclutternonstationarymodel,andpresentsamothodofgoodness—of-fittoTsallisdistributionusingK.S.throughcombiningNel

3、der—Mead.Atthesametime,lettheTsallisdistributionfitthedatameasuredbytheIPIXradar,throughtheanalysisofthedifferentoftheparameters,presentamethodoftargetdetecionusingthesingleparameter,Drovidinganewmethodfbrthedetectionofremoteandweaksignalinthestrongseaclutter.Themainworkint

4、hispaperincludesthefollowing:1.Statethecauseofrisingresearchontheseaclutterfromdomesticandforeign,andexpoundpresentresearchsituationinthreeaspectsofseacluttermodeling,seacluttersimulationandtargetdetectionintheseaclutter;IntroducetheIPIXradar,dataformatmeasuredbvtheIPIXrade

5、randthemethodofprocessingtheseaclutterdatausingMatlab;Analvzetheseacluttercharacteristicsfromseaclutterscatteringcoefficient,seaclutterstatisticaldistribution,seaclutterspectrumandtime、spatialcorrelation;Comparethetwokindsofseacluttersimulationmethodofzeromemorynonlinearity

6、methodandsphericallyinvariantrandomprocessmethod.2,RealizetheamplitudefittingofRayleighdistribution,Lognormaldistribution,WeibulldistributionandKdistribution,fourseacluttermodelsbasedonstatisticaldistributionrelativethedatemeasuredbytheIPIXrader,usingtheMaxinumlikelihoodest

7、mation,andmomentestimation.andanalyzestheimpactoftheparametersforeachstatisticaldistributionmodelbasedtheseexperments.3.ResearchtheseacluttercharacteristicsofnonlinearityusingthedatemeasuredbytheIPIXrader.Doexperimentsfromthereaspectsofdopplerspectrum,dopplercentroidandseac

8、luttertexture.Theresultprovesthattheseaclutterhasthecharacteristicsofnonlinearity.

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