Dissertation
Dissertation > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission

Moving Target Parameter Estimation on Non-uniform Three-dimensional Distributed SAR

Author MaoZhiNeng
Tutor LiuMei
School Harbin Institute of Technology
Course Electronics and Communication Engineering
Keywords arbitrary baseline parameter estimation moving target Ambiguity distributed spaceborne SAR
CLC TN957.52
Type Master's thesis
Year 2012
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Because of distributed spaceborne SAR systems with multi-functional, highperformance, makes it become the research focus of the current study. Morein-depth study of the moving target parameter estimation for the spatialconfiguration of distributed spaceborne SAR systems, the main work andcontributions of this paper is as follows:Spaceborne SAR echo data simulation method-two-dimensionalfrequency-domain fast Fourier transform is derived and analyzed its performanceand the advantages and disadvantages. Elevation phase topography inversionderived an elevation phase expansion method, and its phase unwrapping errors areanalyzed on the basis of this method is applied to the inversion of the terrain underthe distributed spaceborne SAR systems.Exists only along the track baseline distributed spaceborne SAR systems,analysis and application ATI Technologies moving target is derived distance to thevelocity estimation, and discuss the non-fuzzy parameters estimated range. Inmulti-baseline conditions, the derivation of a velocity solution of the fuzzyalgorithm, and verified by experiment the validity of the method.Baseline arbitrary distribution of the spatial configuration of the context ofdistributed spaceborne SAR systems, analytic approximate expression for theinterferometric phase is derived on the basis of the Samsung, get moving targetdistance to the speed and height of the estimated results. Caused by the interferencephase of the fuzzy parameters estimated ambiguity, the derivation and analysis of aparameter estimation fuzzy method, and verified by experiment the validity of themethod.

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