WCSE

A Non-side-looking Range Compensation Method for MIMO Radar

Abstract— The loss for degree of system freedom and mismatch of prior information based on registration based compensation method will result in a decline in the computation performance. In order to solve the above problems, an improved method is proposed where sparse recovery theory is applied instead of the sub-aperture smoothing operation. Firstly, it combines sparse recovery algorithm with MIMO radar system whose single frame data are equivalent to multi frame data of the phased array. Then the super resolution clutter space-time spectrum is gotten by utilizing the sparse recovery. After that the transition covariance matrix is calculated. Finally, the clutter covariance matrix is reconstructed by Capon spectrum. Compared with the conventional RBC (Registration Based Compensation) method, the method proposed doesn’t depend on sub-aperture smoothing operation and prior information. In addition, it is also steadier when the sensor error exists. The experimental simulation demonstrates the correction and feasibility of this method.

Index Terms— MIMO radar; STAP; range dependence; sub-aperture smoothing; sparse recovery.

Yang Liu, Yong-Shun Zhang, Qi-Chao Ge, Zhi-Hui Li
Air and Missile Defense College, Air Force Engineering University, CHINA

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Cite: Yang Liu, Yong-Shun Zhang, Qi-Chao Ge, Zhi-Hui Li, "A Non-side-looking Range Compensation Method for MIMO Radar," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 886-890, Beijing, 25-27 June, 2017.