A Coupled Mode Reverberation Theory for Clutter Induced by Inhomogeneous Water Columns in Shallow Sea

Pang, Jie; Gao, Bo; Song, Wenhua; Zuo, Yiru; Mo, Dongpeng

doi:10.1109/coa50123.2021.9520037

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…In shallow water, seafloor reverberation presents a significant obstacle to active sonar performance, as weak target echoes can easily be overwhelmed by reverberation interference. Reverberation clutter, which is caused by the inhomogeneity of the water column, discrete scatters on the seafloor, non-discrete seabed structures [2], and fish schools [3], exacerbates the undesired constant false alarm rate (CFAR) of active sonar.…”

Section: Introductionmentioning

confidence: 99%

Application of a Randomized Algorithm for Extracting a Shallow Low-Rank Structure in Low-Frequency Reverberation

Pang

Gao

2023

Remote Sensing

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The detection performance of active sonar is often hindered by the presence of seabed reverberation in shallow water. Separating the reverberations from the target echo and noise in the received signal is a crucial challenge in the field of underwater acoustic signal processing. To address this issue, an improved Go-SOR decomposition method is proposed based on the subspace-orbit-randomized singular value decomposition (SOR-SVD). This method successfully extracts the low-rank structure with a certain striation pattern. The results demonstrate that the proposed algorithm outperforms both the original Go algorithm and the current state-of-the-art (SOTA) algorithm in terms of the definition index of the low-rank structure and computational efficiency. Based on the monostatic reverberation theory of the normal mode, it is established that the low-rank structure is consistent with the low-frequency reverberation interference striation. This study examines the interference characteristics of the low-rank structure in the experimental sea area and suggests that the interferences of the fifth and seventh modes mainly control the low-rank structure. The findings of this study can be applied to seafloor exploration, reverberation waveguide invariant (RWI) extraction, and data-driven reverberation suppression methods.

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Section: Introductionmentioning

confidence: 99%

Application of a Randomized Algorithm for Extracting a Shallow Low-Rank Structure in Low-Frequency Reverberation

Pang

Gao

2023

Remote Sensing

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A Shallow Seafloor Reverberation Simulation Method Based on Generative Adversarial Networks

Rao

Zhao

et al. 2023

Applied Sciences

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Reverberation characteristics must be considered in the design of sonar. The research on reverberation characteristics is based on a large number of actual reverberation data. Due to the cost of trials, it is not easy to obtain actual lake and sea trial reverberation data, which leads to a lack of actual reverberation data. Traditionally, reverberation data are obtained by modeling the generation mechanism of seafloor reverberation. The usability of the models requires a large amount of actual seafloor reverberation data to verify. In terms of the reverberation modeling theory, scattering models are mostly empirical, computationally intensive and inefficient. In order to solve the above obstacles, we propose a shallow seafloor reverberation data simulation method based on the generative adversarial network (GAN), which uses a small amount of actual reverberation data as reference samples to train the GAN to generate more reverberation data. The reverberation data generated by the GAN are compared with that simulated by traditional methods, and it is found that the reverberation data generated by the GAN meet the reverberation characteristics. Once the network is trained, the reverberation data are generated with very little computation. In addition, the method is universal and can be applied to any sea area. Compared with the traditional method, this method has a simple modeling idea, less computation and strong universality. It can be used as an alternative method for sea trials to provide data support for the study of seafloor reverberation characteristics, and it has broad application prospects in antireverberation technology research and active sonar design.

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A Coupled Mode Reverberation Theory for Clutter Induced by Inhomogeneous Water Columns in Shallow Sea

Cited by 2 publications

References 6 publications

Application of a Randomized Algorithm for Extracting a Shallow Low-Rank Structure in Low-Frequency Reverberation

Application of a Randomized Algorithm for Extracting a Shallow Low-Rank Structure in Low-Frequency Reverberation

A Shallow Seafloor Reverberation Simulation Method Based on Generative Adversarial Networks

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