基于压缩感知的MIMO-SAR运动误差补偿与成像

doi:10.7527/S1000-6893.2013.0410

Abstract

Abstract:

Multiple-input multiple-output synthetic aperture radar (MIMO-SAR) can realize high resolution imaging by its predominance of the multichannel spatial parallel sampling, but the inevitable problems of motion compensation and huge amount of echo data need to be resolved. A novel motion error compensation and imaging method for MIMO-SAR based on compressed sensing (CS) is proposed. Firstly, the echo signal model of MIMO-SAR system with motion error is analyzed and the motion error of the Nyquist-sampled data is corrected by the two steps of compensation. Secondly, in order to compensate the motion error of the under-sampled echo signal, the transform operator is constructed, which could realize the first step of compensation, range compression and range migration correction processing. At last, the imaging result is obtained by the second step of compensation and azimuth compression. The effectiveness of the proposed method is proved by the imaging simulations. By using the proposed method, just a small amount of imaging data is required for MIMO-SAR motion error compensation and imaging.

Key words: MIMO-SAR, compressed sensing, motion error, two steps of compensation, transform operator

CLC Number:

V243.2
TN957

GU Fufei, ZHANG Qun, GUAN Hua, YANG Qiu, PENG Faxiang. Motion Error Compensation and Imaging for MIMO-SAR Based on Compressed Sensing[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(3): 838-847.

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Motion Error Compensation and Imaging for MIMO-SAR Based on Compressed Sensing

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