한국음향학회지 (The Journal of the Acoustical Society of Korea)

  • 제35권2호
  • /
  • Pages.149-157
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  • 2016
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  • 1225-4428(pISSN)
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  • 2287-3775(eISSN)
한국음향학회 (The Acoustical Society of Korea)
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능동소나 시스템을 위한 군집화 기반의 클러터 제거 기법

A clutter reduction algorithm based on clustering for active sonar systems

  • 곽철현 (국방과학연구소 소나체계단) ;
  • 정명준 (국방과학연구소 소나체계단) ;
  • 안재균 (국방과학연구소 소나체계단)
  • 투고 : 2015.12.09
  • 심사 : 2016.01.11
  • 발행 : 2016.03.31
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초록

본 논문에서는 천해 환경에서 고밀도로 형성되는 클러터를 제거하는 군집화 기반의 능동소나 클러터 제거 기법을 제안한다. 먼저 제안하는 기법에서는 표적의 속도, 송신 핑 주기 등을 고려하여 측정치에 대해 밀도 기반의 군집화를 수행한다. 군집으로 분류된 측정치들을 실제 표적에 대한 후보로 가정하고 군집화 되지 않은 측정치인 잡음을 제거한다. 군집화 후 군집별 표적 여부를 판단하기 위해 유효성 검사를 실시하여 표적과 클러터를 구분한다. 최종적으로 표적으로 분류되지 않은 군집의 측정치들을 클러터로 간주하여 제거한다. 제안한 기법을 모의신호와 해상실험데이터를 이용하여 성능 분석한 결과, 본 논문에서 제안한 군집화 기반의 능동소나 클러터 기법의 성능이 기존 방법보다 우수함을 확인하였다.

In this paper, we propose a new clutter reduction algorithm, which rejects heavy clutter density in shallow water environments, based on a clustering method. At first, it applies the density-based clustering to active sonar measurements by considering speed of targets, pulse repetition intervals, etc. We assume clustered measurements as target candidates and remove noise, which is a set of unclustered measurements. After clustering, we classify target and clutter measurements by the validation check method. We evaluate the performance of the proposed algorithm on synthetic data and sea-trial data. The results demonstrate that the proposed algorithm provides significantly better performances to reduce clutter than the conventional algorithm.

키워드

참고문헌

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