Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR

Development of SAR(a) High Resolution(b) Multifunction(c) Miniaturization(d) Multi-band, Multi-polarDevelopment of GMTI and GMTIm TechniquesTechnique BackgroundsRecent Development of GMTI and GMTIm TechniqueBook Structure and OrganizationReferencesSAR Ground Moving Target Indication and Imaging TheoryIntroductionPrinciple of SARSignal Analysis of Moving Target in SARSignal Model of a Moving TargetDoppler CentroidDoppler Modulation RateRCMPrinciple of Existing GMTI AlgorithmsPrinciple of Single-Antenna GMTI Algorithms(a) Spectrum filtering algorithm(b) RDM algorithm(c) Time-frequency analysis algorithmCFAR DetectionPrinciple of GMTIm AlgorithmsRCMC of Moving TargetsMotion Parameter EstimationConclusionReferencesFast Moving Target Indication and Imaging in Stripmap SARIntroductionEcho Model of Fast Moving TargetDoppler Centroid Estimation of the ClutterPrinciple of Energy Balancing MethodAdaptive Doppler Centroid Estimation Algorithm Based on Curve FittingSimulation Results and AnalysisMultiple Moving Target Indication and Spectrum ExtractionThe Two-Step GMTI AlgorithmReal Data Processing ResultsFast Moving Target Imaging Algorithm Based on Hough Transform and Third-Order PFTPrinciple of the Proposed Algorithm.(a) Principle of the Hough transform(b) Principle of the PFTProcessing Steps of the AlgorithmResults of the Simulation and Real Data ProcessingConclusionReferencesGround Moving Target Indication and Imaging in WAS ModeIntroductionKey Technique in Airborne SAR Mechanic Scanning ModeMechanic Scanning Mode and the Principle of DBSSystem Design Scheme of the Airborne Mechanic Scanning SARReal-Time DBS Algorithm Based on CZTThe Modification of Traditional DBS Algorithm.Principle of the Proposed AlgorithmGMTI and Parameter Estimation Algorithm Based on Multiple RevisitsConclusionReferencesGMTI and GMTIm in FMCW SARIntroductionPrinciple of FMCW SAR and Signal ModelPrinciple of FMCW SARSignal Model and AnalysisNonlinearity Correction of FMCW SARAnalysis of the Nonlinearity Problem.Principle of Derivative AlgorithmNonlinearity Correction Algorithm Based on Homomorphic DeconvolutionAlong-Track Moving Target Indication and Imaging in FMCW SARSignal Model of Moving Targets in FMCW SARAlong-Track Moving Target Indication Algorithm in FMCW SARConclusionReferencesNon-ideal Motion Error Analysis in GMTImIntroductionMotion Error Compensation in Stationary SAR ImagingMotion Error Analysis in Airborne SAR(a) Inconstant velocity error of the platform(b) Non-ideal Trajectory ErrorPrinciple of PGA(a) Target Selection and Circular Shifting(b) Adding Windows(c) Phase Gradient Estimation(d) Iterated Phase CorrectionSignal Model of Moving Target with Non-ideal Motion ErrorMotion Error AnalysisPlatform Velocity ErrorCross-Track Velocity Error of the Moving TargetNon-ideal Motion Error Estimation and Correction AlgorithmAlgorithm. PrincipleSimulation and Raw Data ProcessingConclusionReferences
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