A clutter reduction algorithm based on clustering for active sonar systems

능동소나 시스템을 위한 군집화 기반의 클러터 제거 기법

Kwak, ChulHyun;Cheong, Myoung Jun;Ahn, Jae-Kyun

  • Received : 2015.12.09
  • Accepted : 2016.01.11
  • Published : 2016.03.31


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.


Clutter reduction;Active sonar;Clustering;Principal component analysis


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Grant : 핵심기술

Supported by : 국방과학연구소