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http://dx.doi.org/10.7776/ASK.2007.26.3.123

Underwater Transient Signal Classification Using Eigen Decomposition Based on Wigner-Ville Distribution Function  

Bae, Keun-Sung (경북대학교 전자전기컴퓨터학부)
Hwang, Chan-Sik (경북대학교 전자전기컴퓨터학부)
Lee, Hyeong-Uk (국방과학연구소 수중탐지체계부)
Lim, Tae-Gyun (경북대학교 전자전기컴퓨터학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.26, no.3, 2007 , pp. 123-128 More about this Journal
Abstract
This Paper Presents new transient signal classification algorithms for underwater transient signals. In general. the ambient noise has small spectral deviation and energy variation. while a transient signal has large fluctuation. Hence to detect the transient signal, we use the spectral deviation and power variation. To classify the detected transient signal. the feature Parameters are obtained by using the Wigner-Ville distribution based eigenvalue decomposition. The correlation is then calculated between the feature vector of the detected signal and all the feature vectors of the reference templates frame-by-frame basis, and the detected transient signal is classified by the frame mapping rate among the class database.
Keywords
SONAR; Underwater transient signal classification; Wigner-Ville distribution function; Eigenvalue decomposition; Feature vector extraction;
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