基于可调Q因子小波变换的海杂波抑制算法

doi:10.12305/j.issn.1001-506X.2023.02.03

Abstract

Abstract:

For the problem of low signal to clutter ratio in weak target detection under sea clutter, an improved sea clutter suppression algorithm based on tunable Q-factor wavelet transform is proposed. Since the energy of the sea clutter is much greater than the energy of the target, selecting parameters which match the characteristics of the sea clutter oscillation is proposed to conduct tunable Q-factor wavelet transform and obtain the coefficients of each wavelet sub-band. The wavelet coefficients are sparsely optimized for reconstructing the sea clutter. In order to judge whether the weak target signal exists, an adaptive threshold detection method is proposed. It uses the difference between the original echo signal and the reconstructed sea clutter as the detection sample to detect the weak target. The algorithm does not rely on specific models of sea clutter. Finally, the experimental results on a measured sea clutter data set show that the proposed algorithm is correct.

Key words: sea clutter suppression, tunable Q-factor wavelet transform(TQWD), sparse optimization, adaptive threshold selection

CLC Number:

TN959

Junling ZHANG, Mei DONG, Baixiao CHEN. Sea clutter suppression algorithm based on tunable Q-factor wavelet transform[J]. Systems Engineering and Electronics, 2023, 45(2): 343-351.

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目标编号	目标距离单元	信杂比/dB	径向速度/(m·s^-1)
1	200	0	1
2	600	-10	3

目标编号	目标距离单元	信杂噪比/dB	径向速度/(m·s^-1)
1	200	0	1
2	1 500	-10	3

目标编号	目标距离单元	信杂比/dB	径向速度/(m·s^-1)
1	200	-10	1
2	1 500	-20	3

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Sea clutter suppression algorithm based on tunable Q-factor wavelet transform

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