Laser Wake Signal Feature Extraction Based on Wavelet Package Energy Feature

For detection and recognition of the laser wake of a surface ship, a novel method for detecting the wake backscattering signal by making use of the wavelet package energy feature vector is presented. An adaptive noise can-celler based on variable forgivable factor is designed to filter the backscattering signal and system noise, so as to effec-tively select the target signal. The wave package energy feature vector is extracted by using wavelet package decompo-sition method and different energy formation of frequency range. The dimension of the feature vector is reduced with the principal components analysis method. Experimental results show that the proposed method can effectively recognize the features of different wake backscattering signals of a surface ship.