A parallel beamforming algorithm for sonar signal processing

Lanxue Dang; Chongyang Liu; Kang Yang; Yan-e Hou

doi:10.1117/12.2674322

28 April 2023 A parallel beamforming algorithm for sonar signal processing

Lanxue Dang, Chongyang Liu, Kang Yang, Yan-e Hou

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260E (2023) https://doi.org/10.1117/12.2674322
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Sonar is a general term for various underwater acoustic devices, which are used to perform underwater target detection, positioning, identification, tracking and underwater communication, navigation, measurement and other tasks. All sonar devices including active sonar and passive sonar both require a signal processor to execute underwater acoustic signal processing. Beamforming is the main and core component of the sonar signal processor, and its processing speed affects the real-time performance of sonar. Thus, this paper first implements a parallel sonar beamforming algorithm to improve the processing speed of the beamforming algorithm. The proposed algorithm was carried out several experiments, and the experimental results demonstrate that the parallelism of multi-core CPU can bring better speedup ratio and efficiency than the traditional serial CPU algorithm.

Citation Download Citation

Lanxue Dang, Chongyang Liu, Kang Yang, and Yan-e Hou "A parallel beamforming algorithm for sonar signal processing", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260E (28 April 2023); https://doi.org/10.1117/12.2674322

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KEYWORDS

Spatial filtering

Signal processing

Matrices

Acoustics

Target detection

Active sonar

Passive sonar

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