An underwater acoustic signal preprocessing method based on superposition variational mode decomposition residual

Yuchen Fang; Huapeng Yu; Qinyuan He; Libing Bai

doi:10.1117/12.2681011

8 June 2023 An underwater acoustic signal preprocessing method based on superposition variational mode decomposition residual

Yuchen Fang, Huapeng Yu, Qinyuan He, Libing Bai

Author Affiliations +

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127071H (2023) https://doi.org/10.1117/12.2681011
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Target radiation noise preprocessing is the basis and premise of underwater acoustic signal processing. In order to obtain better noise reduction effect, a method of underwater target radiation noise reduction based on superposition variational mode decomposition residual is proposed. The initial signal collected by passive sonar is decomposed into a series of intrinsic mode functions and residuals by variational mode decomposition, and the spatial-dependence recurrence sample entropy of each intrinsic mode function is calculated. According to this value, the intrinsic mode functions are divided into noise-dominated intrinsic mode function and signal-dominated intrinsic mode function. The noise-dominated intrinsic mode function is denoised by improved wavelet threshold denoising. While SG filter denoises the signaldominated intrinsic mode function, restructures the processed natural mode function, and superposes the residual from the variational mode decomposition to obtain the de-noised signal. The proposed method was applied to the experimental data of SWellEx-96, an open source data set. The results show that, the proposed method has certain advantages. The improved signal-to-noise ratio is higher than 55.4dB and the root-mean square error is less than 1.8*10-5, which makes the line spectrum characteristics in the frequency domain more obvious. Therefore, this method has certain practical application value.

Citation Download Citation

Yuchen Fang, Huapeng Yu, Qinyuan He, and Libing Bai "An underwater acoustic signal preprocessing method based on superposition variational mode decomposition residual", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127071H (8 June 2023); https://doi.org/10.1117/12.2681011

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KEYWORDS

Denoising

Signal to noise ratio

Modal decomposition

Signal processing

Wavelets

Passive sonar

Acoustics

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