Adaptive processing technique for enhanced CFAR detecting performance in active sonar systems

Kim, Ki Man; Lee, Chungyong; Youn, Dae Hee

doi:10.1109/7.845261

Cited by 9 publications

(2 citation statements)

References 12 publications

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“…Fig 16(B) is a diagram showing the effect of the autoregressive pre-whitener [ 29 ] reverberation suppression method. Fig 16(C) shows the impact of the least mean square filter (LMS) [ 30 ]. It found that the reverberation part is suppressed and reduced amplitude.…”

Section: Methodsmentioning

confidence: 99%

A construction method of reverberation suppression filter using an end-to-end network

Wang,

Zhang,

Chen

et al. 2023

PLoS ONE

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Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy. Reverberation suppression is a signal processing technique used to improve the clarity and accuracy of echo by eliminating the echoes, reverberations, and noise that occur during underwater propagation.This paper proposes an end-to-end network structure called the Reverberation Suppression Network (RS-U-Net) to suppress the reverberation of underwater echo signals. The proposed method effectively improves the signal-to-reverberation ratio (SRR) of the echo signal, outperforming existing methods in the literature. The RS-U-Net architecture uses sonar echo signal data as input, and a one-dimensional convolutional network (1D-CNN) is used in the network to train and extract signal features to learn the main features. The algorithm’s effectiveness is verified by the pool experiment echo data, which shows that the filter can improve the detection of echo signals by about 10 dB. The weights of reverberation suppression tasks are initialized with an auto-encoder, which effectively uses the training time and improves performance. By comparing with the experimental pool data, it is found that the proposed method can improve the reverberation suppression by about 2 dB compared with other excellent methods.

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Section: Methodsmentioning

confidence: 99%

A construction method of reverberation suppression filter using an end-to-end network

Wang,

Zhang,

Chen

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…2D-AR PreWhitener is used to eliminate correlation and frequency correlation in the signal Li et al (2008) so that the signal is flatter in the frequency domain, and the processed echo sonar signal shows the position of the target echo. The least mean square filter (LMS) processes the echo signal Kim et al (2000), and the reverberation component is suppressed, decreasing amplitude. Adaptive fractional Fourier transforms (FrFt) for suppressing reverberation Yu et al (2022), Although the reverberation is partially suppressed, the actual impact is not apparent.…”

Section: Experimental Verificationmentioning

confidence: 99%

A Wasserstein generative adversarial network with gradient penalty for active sonar signal reverberation suppression

Wang,

Zhang,

Huang

et al. 2023

Front. Mar. Sci.

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Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy. Reverberation suppression is a signal processing technique used to improve the clarity and accuracy of received signals by eliminating the echoes, reverberations, and noise that occur during underwater propagation. Existing reverberation suppression methods include algorithms based on Time-Frequency domain processing, noise reduction, adaptive filtering, and spectral subtraction, but their performance in high-reverberation environments (echo of small targets) still does not meet the requirements of target detection. To address the impact of high reverberation environments, we propose a structural suppression method based on the Wasserstein gradient penalty generative adversarial network (RSWGAN-GP). The reverberation suppression generation network uses a one-dimensional convolutional network structure to process normalized time-domain signals and achieves the reconstruction of the reverberation signal through Encoder-Decoder. The proposed method is verified through accurate and effective data collection during sea trials. Comparative results show that RSWGAN-GP effectively suppresses reverberation in observation signals with multiple bright spots, improving the signal-to-reverberation ratio by approximately 10 dB compared to other excellent algorithms and enhancing the information analysis and feature extraction capabilities of active sonar signals.

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An underwater bistatic positioning system based on an acoustic vector sensor and experimental investigation

Gulliver

Zhao

et al. 2021

Applied Acoustics

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Adaptive processing technique for enhanced CFAR detecting performance in active sonar systems

Cited by 9 publications

References 12 publications

A construction method of reverberation suppression filter using an end-to-end network

A construction method of reverberation suppression filter using an end-to-end network

A Wasserstein generative adversarial network with gradient penalty for active sonar signal reverberation suppression

An underwater bistatic positioning system based on an acoustic vector sensor and experimental investigation

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