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去调频处理的SAR成像方法 Title:SyntheticApertureRadar(SAR)ImagingTechniquesforFrequencyDomainProcessing Abstract: SyntheticApertureRadar(SAR)hasrevolutionizedremotesensingbyprovidinghigh-resolutionimagesoftheEarth'ssurfaceregardlessofweatherandlightingconditions.SARsystemstransmitmicrowavesignalstowardsthetargetandreceivethebackscatteredsignalstoformanimage.ThispaperfocusesonfrequencydomainprocessingmethodsemployedinSARimaging,whichplayacrucialroleinimprovingimagequality,resolution,andinterpretation.VarioustechniquesutilizedinSARprocessing,suchasrangecompression,Dopplercentroidestimation,motioncompensation,andimageformation,willbediscussedindetail. 1.Introduction SyntheticApertureRadar(SAR)isaremotesensingtechnologythatutilizesthebackscatteredmicrowavesignalstoformhigh-resolutionimagesoftheEarth'ssurface.SARoperatesbycollectingaseriesofcoherentradarechoesoverthetargetarea,asthesensormovesalongaknowntrajectory.Thereceivedsignalsareprocessedtoreconstructasyntheticaperture,resultinginimprovedazimuthresolution.Inthispaper,wewillexploreSARimagingtechniquesthatleveragefrequencydomainprocessingtoenhanceSARimagequality. 2.RangeCompression RangecompressionisacriticalstepinSARimaging,aimingtocompressthereceivedradarsignalalongtherangedimension.Thereceivedsignalistypicallyaconvolutionofthetransmittedwaveformandthetarget'simpulseresponse.Frequencydomainprocessingtechniques,suchasFourierTransform(FT)orChirp-ZTransform(CZT),canbeappliedtoefficientlycompressandfocusthesignal.Bycompensatingfortherangecurvature,distortion,andspreadingofthesignal,rangecompressionsignificantlyimprovesrangeresolution. 3.DopplerCentroidEstimation TheDopplereffectarisesfromtherelativemotionbetweentheSARplatformandthetarget.TheDopplercentroidvarieswiththetarget'spositionandradarfrequency.AccurateDopplercentroidestimationiscrucialtomitigatetherangemigrationeffect,whichcancausesmearinginthefinalimage.Frequencydomaintechniques,suchasFFT-basedcentroidestimationorparametricmethodslikeCLEANandCapon,canbeutilizedtoestimate