Single Ping Clutter Reduction Algorithm Using Statistical Features of Peak Signal to Improve Detection in Active Sonar System

Iksu Seo; Seongweon Kim

doi:10.7776/ASK.2015.34.1.075

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Single Ping Clutter Reduction Algorithm Using Statistical Features of Peak Signal to Improve Detection in Active Sonar System 능동소나 탐지 성능 향상을 위한 피크 신호의 통계적 특징 기반 단일 핑 클러터 제거 기법

31 January 2015. pp. 75-81

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Abstract

In active sonar system, clutters degrade performance of target detection/tracking and overwhelm sonar operators in ASW (Antisubmarine Warfare). Conventional clutter reduction algorithms using consistency of local peaks are studied in multi-ping data and tracking filter research for active sonar was conducted. However these algorithms cannot classify target and clutters in single ping data. This paper suggests a single ping clutter reduction approach to reduce clutters in mid-frequency active sonar system using echo shape features. The algorithm performance test is conducted using real sea-trial data in heavy clutter density environment. It is confirmed that the number of clutters was reduced by about 80 % over the conventional algorithm while retaining the detection of target.

Keywords

Active sonar

Clutter reduction

Echo shape

능동소나를 이용한 대잠전 환경에서 클러터는 표적탐지 및 추적성능을 저하시키는 가장 큰 원인 중 하나이다. 본 논문에서는 중주파수 능동소나에서 표적 피크 신호의 통계적 특징을 이용한 단일 핑 클러터 제거 기법을 제안한다. 기존의 표적 피크 영역을 제외한 잔향 존재 영역에서 오탐지율을 줄이는 기법이나 여러 핑을 누적하여 기동 패턴을 분석하여 표적과 클러터를 구분하는 기법들의 단점을 보완하기 위하여 단일 핑 데이터의 표적 피크 영역에서 통계적 특징 정보를 이용하여 클러터와 표적신호를 구분한다. 실제 표적을 이용한 해상실험에서 성능을 검증하였으며 기존 대비 클러터가 약 80 % 이상 제거되는 것을 확인하였다.

키워드

능동소나

클러터 제거

에코 형상

References

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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 : 34
No :1
Pages :75-81
Received Date : 2014-11-20
Revised Date : 2014-12-22
Accepted Date : 2015-01-02
DOI :https://doi.org/10.7776/ASK.2015.34.1.075

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

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