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http://dx.doi.org/10.6109/jkiice.2013.17.11.2505

Active Sonar Target Recognition Using Fractional Fourier Transform  

Seok, Jongwon (Department of Information and Communication, Changwon National University)
Kim, Taehwan (School of Electronics, Kyungpook National University)
Bae, Geon-Seong (School of Electronics, Kyungpook National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.11, 2013 , pp. 2505-2511 More about this Journal
Abstract
Many studies in detection and classification of the targets in the underwater environments have been conducted for military purposes, as well as for non-military purpose. Due to the complicated characteristics of underwater acoustic signal reflecting multipath environments and spatio-temporal varying characteristics, active sonar target classification technique has been considered as a difficult technique. And it has difficulties in collecting actual underwater data. In this paper, we synthesized active target echoes based on ray tracing algorithm using target model having 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to synthesized target echoes to extract feature vector. Recognition experiment was performed using neural network classifier.
Keywords
Active Sonar; Fractional Fourier Transform; Underwater Target; Target Recognition; Highlight Model;
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