To improve the imaging performance of complex targets and enhance the visual effect of radar images,a multiple input multiple output(MIMO)radar coincidence imaging method based on sparse reconstruction is proposed.A sparse reconstruction coincidence imaging model with fluctuating radar cross section(RCS)from multi-view is designed.This algorithm can improve the randomness of radiation field signals,improve the degradation of correlation between complex target radar coincidence imaging reference signals and echoes,reduce the impact of multi-view RCS fluctuations on correlation,and improve the quality of coincidence imaging under multi-view conditions.Finally,the effectiveness of the proposed method is verified through the simulation.
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