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http://dx.doi.org/10.7776/ASK.2009.28.2.135

Synthesis and Classification of Active Sonar Target Signal Using Highlight Model  

Kim, Tae-Hwan (경북대학교 전자전기컴퓨터학부)
Park, Jeong-Hyun (경북대학교 전자전기컴퓨터학부)
Nam, Jong-Geun (경북대학교 전자전기컴퓨터학부)
Lee, Su-Hyung (위덕대학교 에너지전기공학부)
Bae, Keun-Sung (경북대학교 전자전기컴퓨터학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.2, 2009 , pp. 135-140 More about this Journal
Abstract
In this paper, we synthesized active sonar target signals based on highlights model, and then carried out target classification using the synthesized signals. If the target aspect angle is changed, the different signals are synthesized. To know the result, two different experiments are done. First, The classification results with respect to each aspect angle are shown. Second, the results in two group in aspect angle are acquired. Time domain feature extraction is done using matched filter and envelope detection. It shows the pattern of each highlights. Artificial neural networks and multi-class SVM are used for classifying target signals.
Keywords
Active sonar; Underwater target classification; Active sonar synthesis; Highlight model;
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