Underwater target recognition based on WPT and SVM
Jian Liu, Zhong Liu, Ying Xiong · 2010
Underwater target recognition, which possesses a crucial theoretic and application value, is a very important topic in the world. The basic principles of wavelet packets transform (WPT) and support vector machine (SVM) are briefly introduced at first. Then the signals of ship radiated are pre-processed and filtered by WPT and the wavelet packets energy spectrum feature parameters are extracted from sub-frequency-bands after WPT. At last, the characteristic vector is established with normalization process and the signals are classified by SVM. The simulation experiment results demonstrate that, the ship radiated signals can be classified or recognized availably based on WPT and SVM.