关键词: 目标识别, 小波包变换, 小波包熵, Fisher线性分类器, 分段线性分类器

Abstract: A method for underwater target recognition based on wavelet packet transform and fisher linear classifier is studied. On the basis of wavelet transform, the wavelet packet transform is developed. It can offer plentiful time-frequency information for nonstationary signals. Firstly, the radiated noise of underwater target is decomposed by wavelet packet. Secondly, the entropy of terminal nodes through wavelet packet is served as feature vectors. Lastly, the piecewise linear classifier which is designed based on Fisher linear classifier is applied for underwater target recognition. Simulation results show that the classification method which uses wavelet packet entropy as feature vectors possesses higher recognition correct ratio.

Key words: target recognition, wavelet packet transform, wavelet packet entropy, Fisher linear classifier, piecewise linear classifier