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http://dx.doi.org/10.7776/ASK.2016.35.2.149

A clutter reduction algorithm based on clustering for active sonar systems  

Kwak, ChulHyun (국방과학연구소 소나체계단)
Cheong, Myoung Jun (국방과학연구소 소나체계단)
Ahn, Jae-Kyun (국방과학연구소 소나체계단)
Publication Information
The Journal of the Acoustical Society of Korea / v.35, no.2, 2016 , pp. 149-157 More about this Journal
Abstract
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.
Keywords
Clutter reduction; Active sonar; Clustering; Principal component analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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