Factorized Geometrical Autofocus for Synthetic Aperture Radar Processing英文

Factorized Geometrical Autofocus for Synthetic Aperture Radar Processing英文

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时间:2019-06-24

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1、ThesisfortheDegreeofLicentiateofEngineeringFactorizedGeometricalAutofocusforSyntheticApertureRadarProcessingJanTorgrimssonDepartmentofEarthandSpaceSciencesChalmersUniversityofTechnologyGothenburg,Sweden2013FactorizedGeometricalAutofocusforSyntheticApertureRadarProcessingJanTo

2、rgrimssoncJanTorgrimsson,2013.TechnicalReport55L,RadarRemoteSensingGroupDepartmentofEarthandSpaceSciencesChalmersUniversityofTechnologySE{41296Gothenburg,SwedenPhone:+46(0)317721000E-mail:tojan@chalmers.sePrintedbyChalmersReproserviceChalmersUniversityofTechnologyGothenburg,S

3、weden2013FactorizedGeometricalAutofocusforSyntheticApertureRadarProcessingJanTorgrimssonDepartmentofEarthandSpaceSciencesChalmersUniversityofTechnologyAbstractSyntheticApertureRadar(SAR)imageryisaveryusefulresourceforthecivilianremotesensingcommunityandforthemilitary.Thishowe

4、verpresumesthatimagesarefocused.Thereareseveralpossiblesourcesfordefocusinge ects.ForairborneSAR,motionmeasurementerrorsisthemaincause.Adefocusedimagemaybecompensatedbywayofautofocus,estimatingandcorrectingerroneousphasecomponents.Standardautofocusstrategiesareimplementedasas

5、eparatestageaftertheimageformation(stand-aloneautofocus),neglectingthegeometricalaspect.Inaddition,phaseerrorsareusuallyassumedtobespaceinvariantandcon nedtoonedimension.Thecallforrelaxedrequirementsoninertialmeasurementsystemscontradictsthesecriteria,asitmayintroducespacevar

6、iantphaseerrorsintwodimensions,i.e.residualspacevariantRangeCellMigration(RCM).Thishasmotivatedthedevelopmentofanewautofocusapproach.Thetechnique,termedtheFactorizedGeometricalAutofocus(FGA)algorithm,isinprincipleaFastFactorizedBack-Projection(FFBP)realizationwithanumberofadj

7、ustable(geometry)parametersforeachfactorizationstep.Byalteringtheapertureinthetimedomain,itispossibletocorrectanarbitrary,inaccuratege-ometry.ThisinturnindicatesthattheFGAalgorithmhasthecapacitytocompensateforresidualspacevariantRCM.Inappendedpaperstheperformanceofthealgorith

8、misdemonstratedforgeometricallycon-strainedautofocusproblems.Results

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