Broadband, Ultra-sparse Array Processing for Low Complexity Multibeam Sonar Imaging

Neasham, Jeffrey; Menon, Ravi; Hinton, O.R.

doi:10.1109/oceanse.2007.4302462

Cited by 2 publications

(1 citation statement)

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“…The signals are subsequently received at the receivers, forming echo signals with reverberation (Huang and Wang, 2019). The influence of reverberation on active sonar like synthetic aperture sonar (Zhang et al, 2023a;Zhang et al, 2023b), communication sonar (Yu et al, 2018), multibeam sonar (Neasham et al, 2007) and other active sonars should be completely reviewed. Underwater interface reverberation is an important factor limiting the detection performance of active sonar in shallow water environments.…”

Section: Introductionmentioning

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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