Adaptive Beamforming Method for Turning Towed Line Array SONAR

Seokjin Lee; Kyung-Min Park; Suk-Moon Chung

doi:10.7776/ASK.2014.33.6.383

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2014 Vol.33, Issue 6 Preview Page Next Page

Adaptive Beamforming Method for Turning Towed Line Array SONAR 회전하는 견인 선배열 소나의 적응 빔 형성 기법

30 November 2014. pp. 383-391

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Abstract

In order to detect underwater acoustic signals, various SONAR array types have been developed, including towed line array SONAR system (TASS). However, the TASS suffers from performance degradation which is caused by aperture deformation during a turn, because the TASS have a long-aperture array. A parabolic array model for turning TASS have been developed to solve the degradation problem occurred during a turn. In this paper, adaptive beamforming system is developed using the parabolic TASS model to cancel interference signals. The developed beamforming system is based on generalized sidelobe canceller (GSC) structure and self-tuning adaptive algorithm.

Keywords

Towed line array SONAR

Parabolic array model

Adaptive beamfomring

Generalized sidelobe canceller

수중의 음향 신호를 탐지하기 위하여 다양한 배열 형태를 가지는 소나가 개발되어 왔으며, 그 중 하나로 견인 선배열 소나가 널리 사용된다. 견인 선배열 소나는 매우 긴 형태의 배열을 사용하므로, 회전에 의한 형상 왜곡에 의해 성능이 저하되는 단점이 있다. 이를 해결하기 위하여 회전하는 견인 선배열 소나에 대한 포물선 형태의 형상 모델을 이용하는 기법이 고안되었다. 본 논문에서는 포물선 모델을 이용하여 간섭 신호를 제거하는 적응 빔 형성기 설계 기법을 제안한다. 고안된 빔형성기 시스템은 일반화된 부엽 제거기 구조와 자가 조율 시스템에 기반을 두어 개발되었다.

키워드

견인선배열소나

포물선 배열 모델

적응 빔형성

일반화된 부엽 제거기

References

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2.K.-M. Park, “Beam pattern synthesis based on shape model of turning towed line array SONAR” (in Korean), M.S. Thesis, Seoul National University (2012).

3.P. Gerstoft, W. S. Hodgkiss, W. A. Kuperman, H. Song, M. Sidenius, and P. L. Nielsen, “Adaptive beamforming of towed array during a turn,” IEEE J. Oceanic. Eng. 28, 44-54 (2003).

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5.N. Jablon, “Steady state analysis of the generalized sidelobe canceller by adaptive noise cancelling techniques,” IEEE Trans. Antennas. Propag. 34, 330-337 (1986).

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8.S. Lee, J. Lim and K.-M. Sung, “A low-complexity AFF-RLS algorithm using a normalization technique,” IEICE Electron. Expr. 6, 1774-17809 (2009).

9.J. Lim, S. Lee, and H.-S. Pang, “Low complexity adaptive forgetting factor for online sequential extreme learning machine (OS-ELM) for application to nonstationary system estimations,” Neural Comput. Appl. 22, 569-576 (2013).

10.K. -M. Park, S. Lee, and S.-M. Jung, “Steering beam pattern synthesis of line array SONAR using modified two-step least squares method” (in Korean), Journal of The Institute of Electronics and Information Engineers 51, 1356-1364 (2014).

Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 33
No :6
Pages :383-391
Received Date : 2014-08-07
Accepted Date : 2014-09-18
DOI :https://doi.org/10.7776/ASK.2014.33.6.383

The Journal of the Acoustical Society of KoreaISSN:1225-4428(Print) 2287-3775(Online)한국음향학회

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