Underwater Target Recognition Based on WPT and SVM

摘要：

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 subfrequency-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.

关键词： Wavelet Packets Transform Energy Spectrum Feature Extraction Support Vector Machine Target Recognition

作者: LIU Jian LIU Zhong XIONG Ying

作者单位: Electrical Engineering College, Naval University of Engineering Wuhan, China 430033 Naval Architecture & Power Engineering College, Naval University of Engineering Wuhan, China 430033

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 275-278

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）