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

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.