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An imaging algorithm for high-resolution imaging sonar system

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Abstract

Multireceiver synthetic aperture sonar (SAS) can produce high-resolution images by coherently superposing successive echoed signal. However, multireceiver SAS imaging is a difficult issue since the system can be divided into many bistatic SASs. Traditional imaging algorithms cannot be directly used to process the multireceiver SAS echoed signal, as they are just applied to monostatic sonar system. In order to solve this issue, this paper proposes an imaging algorithm based on Loffeld’s bistatic formula (LBF) for multireceiver SAS system. With the LBF method, the point target reference spectrum (PTRS) of multireceiver SAS system can be split into quasi-monostatic term and the bistatic deformation term. The quasi-monostatic term is similar to the spectrum of monostatic SAS while the bistatic deformation term is caused by the displacement of transmitter and receiver. In this paper, the data of multireceiver SAS is firstly coerced into monostatic one by compensating the bistatic deformation term. After this step, the chirp scaling (CS) algorithm based on monostatic SAS can be directly applied. At last, simulations are exploited to demonstrate the presented method. Compared to traditional multireceiver SAS CS algorithms, the presented method significantly improves the imaging performance. Both ghosts target and higher sidelobes that traditional multireceiver SAS CS algorithms suffer from can be successfully suppressed. Furthermore, the presented method can obtain high-resolution results which are nearly identical to the benchmark of BP algorithm.

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Data availability

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors are very grateful for reviewers’ comments improving this paper. Besides, the authors are very grateful for Prof. Dr. Haixin Sun’ s technical editing of the manuscript. Furthermore, the authors are very grateful for Dr. Mingzhang Zhou’ s proofreading of the manuscript.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work described in this article was partially supported by the Enterprise Marine Project under grant No. 20210701.

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  1. Acoustic Signal & Electronics Science and Technology Corporation, Xijin Road, Lanzhou, 730070, China

    Peixuan Yang

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Yang, P. An imaging algorithm for high-resolution imaging sonar system. Multimed Tools Appl 83, 31957–31973 (2024). https://doi.org/10.1007/s11042-023-16757-0

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