Recovering reverberation interference striations by a conditional generative adversarial network

Gao, Bo; Pang, Jie; Li, Xiaolei; Song, Wenhua; Gao, Wei

doi:10.1121/10.0004907

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Based on the normal mode reverberation theory [31,32], the seabed reverberation field P θ ( f , t) corresponding to the unit scattering area dS(t, θ, τ) can be expressed as…”

Section: Reverberation Modelmentioning

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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“…Based on the normal mode reverberation theory [31,32], the seabed reverberation field P θ ( f , t) corresponding to the unit scattering area dS(t, θ, τ) can be expressed as…”

Section: Reverberation Modelmentioning

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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“…At present, some researchers have realized the effective component of the uncertain component and the deterministic component in reverberation by using the conditional generation adversarial network [9]. It is difficult to obtain the relationship between the uncertain components of seafloor scattering and the parameters of seafloor heave interface, and the corresponding experimental verification in the reverberation measurement at sea.…”

Section: Introductionmentioning

confidence: 99%

A Scaled Tank Experiment for the Stochastic Rough Interface Scattering

Zhou

Gao

Pang

2023

J. Phys.: Conf. Ser.

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Bottom reverberation is an important limitation that affects the detection performance of active sonar in shallow water. The stochastic rough seafloor surface scattering is one of the main scattering sources of the bottom reverberation. Since there are much uncertainties, such as propagation fluctuation, unstable station of transmit and receive equipment, it is difficult to investigate the quantitative relationship between the random rough interface parameters and the statistical property by processing the experimental reverberation data collected in the ocean In this paper, the statistical characteristics of the irregular 3D printed interface scattering field are studied by a scaled tank experiment, and the detailed results are presented by the comparison between the COMSOL simulations and the recorded data, the feasibility of the random rough interfaces experiment is verified well. Because the relationship between parameters is precisely controllable, it lays a foundation for the subsequent experimental research of target extraction under the background of interface scattering.

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Recovering reverberation interference striations by a conditional generative adversarial network

Cited by 2 publications

References 18 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 Scaled Tank Experiment for the Stochastic Rough Interface Scattering

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