A Novel Feature Extraction Approach for Radar Emitter Signals

摘要：

Feature extraction is the crucial technology to deinterleave and recognize the new system radar emitter signals. In this paper, a novel time-frequency atom feature extraction approach is presented. Based on the over-complete multiscale dictionary of Gaussian Chirplet atoms, adopting Match Pursuit (MP) to decompose signals and the improved quantum genetic algorithm (IQGA) to reduce the search time for MP, the optimal Chirplet atoms to represent the feature information of the radar emitter signals can be obtained. The validity and feasibility of the approach was proved by using fewer Chirplet atoms to acquire more accurate feature information compared with Gabor atoms approach.

作者: Ming ZHU Weidong JIN Yunwei PU Laizhao HU

作者单位: Southwest Jiaotong University, China National EW Laboratory, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）