Specific Radar Emitter Recognition Based on Wavelet Packet Transform and Probabilistic SVM

摘要：

Radar emitter recognition plays an important role in military automated command and control system. It is a composite task that involves radar signal interception, modulation recognition, features extraction and classification. In this paper, a wavelet packet transform is used for feature extraction of unintentional modulation on pulse (UMOP). Then specific radar emitter recognition is achieved by a probabilistic SVM (PSVM). Experiments on simulation and actual radar data verify the correctness and validity of this method.

作者: Lin Li Hongbing Ji Lei Wang

作者单位: School of Electronic Engineering,Xidian University,Xian,710071,PR China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 1308-1313

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）