A robust detection algorithm against clutters in active sonar in shallow coastal environment

Eun Jeong Jan; Sungchur Kwon; Won Tcheon Oh; Jung Woo Lee; Keecheol Shin; Juho Kim

doi:10.7776/ASK.2019.38.6.661

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2019 Vol.38, Issue 6 Preview Page Next Page

Research Article

A robust detection algorithm against clutters in active sonar in shallow coastal environment 연안 환경에서 클러터에 강인한 능동소나 탐지 알고리듬

30 November 2019. pp. 661-669

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Abstract

High frequency active sonar is appropriate for detecting small targets such as a diver in coast environment. In case of using high frequency active sonar in shallow coastal environment, a false alarm rate is high due to clutters caused by marine biological noise, ship noise, wake, etc. In this paper, we propose an algorithm for target detection which is robust against clutter in active sonar system in shallow coastal environment. The proposed algorithm increases the rate of reduction clutter using calculation of statistical characteristics of signal and a clustering method. The algorithm is evaluated and analysed with sea trial data, as a result, that shows the rate of reducing rate of clutter of 96 % and over.

Keywords

High frequency active sonar

Small target detection

Clutter reduction

Clustering

Shallow coastal environment

연안 환경에서 소형 표적의 탐지에는 고주파 능동소나가 적합하다. 연안 환경에서 고주파 능동소나를 사용할 경우 해양 생물 소음, 선박 소음, 항적 등에 의한 클러터로 인하여 오경보율이 매우 높다. 본 논문에서는 연안 환경에서 능동 소나에서 클러터에 강인한 탐지 알고리듬을 제안한다. 제안된 알고리듬은 측정치 추출 시 신호의 통계적인 특징을 이용하는 Constant False Alarm Rate(CFAR)와 클러스터링 알고리듬을 이용하여 클러터 제거율을 높인다. 제안된 탐지 알고리듬은 해상 시험을 통하여 검증하였으며, 약 96 % 이상의 클러터를 제거하였다.

키워드

고주파능동소나

소형 표적 탐지

클러터제거

클러스터링

연안 환경

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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 : 38
No :6
Pages :661-669
Received Date : 2019-08-30
Accepted Date : 2019-10-02
DOI :https://doi.org/10.7776/ASK.2019.38.6.661

The Journal of the Acoustical Society of Korea ISSN:1225-4428(Print) 2287-3775(Online) 한국음향학회지

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