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An Anti-reverberation Approach for wideband Sonar: Based on Sparse Processing

Published: 15 March 2023 Publication History

Abstract

Reverberation is the main factor that limits the detection of close-range targets by an active sonar system. In this paper, a sparse processing method of dynamic measurement vector is proposed to realize the parameter reconstruction of reverberation and target for broadband sonar scenario. In this method, the high-resolution parameters are reconstructed one by one along the coarse resolution range bin in the reverberation region, and a tolerance term is added in the iterative process of reconstruction to distinguish reverberation and target. The measurement vector is updated synchronously during the phase atom search of the dictionary matrix, which effectively overcomes the range migration of the target and reverberation. Simulation results show that the proposed method can achieve accurate reconstruction and detection of target parameters in a reverberation background.

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cover image ACM Other conferences
EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 15 March 2023

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  1. anti-reverberation
  2. frequency agility
  3. sparse signal processing
  4. wideband sonar

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Overall Acceptance Rate 508 of 972 submissions, 52%

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