一种基于稀疏重构的多视角MIMO雷达关联成像算法研究

doi:10.12305/j.issn.1001-506X.2024.02.11

Abstract

Abstract:

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.

Key words: radar imaging, multiple input multiple output (MIMO), radar coincidence imaging, regularization, total variation

CLC Number:

TN95

Gong ZHANG, Yuwei TIAN, Jiawen YUAN, Yu ZHANG. A multi-view MIMO radar coincidence imaging algorithm research based on sparse reconstruction[J]. Systems Engineering and Electronics, 2024, 46(2): 470-477.

Figures/Tables 8

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参数	取值	参数	取值
发射阵元数	4	接收阵元数	9
发射阵元间距/m	0.5	接收阵元间距/m	1
时间采样数	500	带宽/MHz	500
场景/m	3.6×3.6	成像单元数	15×15
成像单元大小/m	0.24	载频/GHz	10

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A multi-view MIMO radar coincidence imaging algorithm research based on sparse reconstruction

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