基于稀疏重构的海杂波抑制和目标提取算法

doi:10.12305/j.issn.1001-506X.2022.03.09

Abstract

Abstract:

In a strong clutter environment, radar target echoes are often submerged in clutter and difficult to detect. Especially under the background of sea clutter, the Doppler frequency of target may fall in clutter frequency range. At this time, traditional clutter suppression method has limitations. In response to this problem, corresponding time-frequency domain over-complete dictionaries are designed, which are based on the sparse characteristics and the differences in Doppler frequency range of target and clutter. Then use morphological component analysis algorithm to find the sparse coefficients of target and clutter components. The target and clutter components are recovered by multiplying the corresponding dictionary and sparse coefficients, achieving clutter suppression and target information extraction. Finally, the effectiveness of the algorithm is verified by measured data.

Key words: clutter suppression, sparse reconstruction, morphological component analysis, target extraction

CLC Number:

TN957

Wenjing LI, Zhuolin LI, Zhentao YUAN. Sea clutter suppression and target extraction algorithm based on sparse reconstruction[J]. Systems Engineering and Electronics, 2022, 44(3): 777-785.

Figures/Tables 13

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Sea clutter suppression and target extraction algorithm based on sparse reconstruction

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