Parameter Estimation Method of Moving Targets with SAR Sparse Sampling Data
CHEN Yichang①② ZHANG Qun①③
①(Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077, China) ②(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China) ③(Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China)
To solve the problem of motion parameter estimation of ground moving target, a parameter estimation method of moving targets with sparse sampling data of single SAR sensor is proposed. First, based on the 2 dimensional velocity of moving targets, an equivalent parametric model is constructed to transform the moving target echo into squint SAR echo. Then, with different parameters the modified iterative thresholding algorithm is applied to achieving imagery of moving target. Finally, the motion parameters of targets are obtained by minimizing the image entropy. It is shown that, using the proposed method, the required echo sampling can be reduced, the Doppler ambiguity problem can be avoided and accurate velocity estimation can be obtained even in low signal-to-clutter ration scenarios. Simulation results verify the effectiveness of the proposed method.
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