A sea clutter suppression algorithm based on sparse representation

Jingyi Yan; Yong Yu; Jianqi Zhang; Bin Zhang; Zheng Chen

doi:10.1117/12.2652894

6 September 2022 A sea clutter suppression algorithm based on sparse representation

Jingyi Yan, Yong Yu, Jianqi Zhang, Bin Zhang, Zheng Chen

Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 1233221 (2022) https://doi.org/10.1117/12.2652894
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China

Abstract

Sea clutter can affect the detection of sea targets. Traditional clutter suppression methods are difficult to detect slow - moving targets in medium-high sea conditions. Based on sparse representation theory, a novel sea clutter suppression method based on sparse low rank is proposed. It replaces traditional correlative operation with low dimensional projection measurement and signal reconstruction, and transfers a lot of computation to post processing. On the premise that the target range dimension distribution detected by radar satisfies sparsity and the sea clutter satisfies low rank, a solution m-odel is established by using the minimum power sparsity constraint and the low rank constraint of the sea clutter. The co-nvolution matrix is formed by transmitting signals, and then the measurement matrix is constructed by randomly extract-ing rows of the convolution matrix. The iterative contraction threshold algorithm is used to reconstruct the target signal. This paper gives a detailed theoretical derivation of the algorithm and forms a complete implementation framework. Si-mulation results show that the proposed algorithm can effectively reconstruct the target and achieve the sea clutter suppression and target detection under strong sea clutter background.

Citation Download Citation

Jingyi Yan, Yong Yu, Jianqi Zhang, Bin Zhang, and Zheng Chen "A sea clutter suppression algorithm based on sparse representation", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 1233221 (6 September 2022); https://doi.org/10.1117/12.2652894

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