Radar Target Recognition based on Multiple Features Fusion with Dempster-Shafer Theory

摘要：

A radar high resolution range profile (HRRP) contains rather detailed structural information of a target and provides us a more reliable tool for target recognition. Various feature extraction methods have been developed and applied to radar target recognition successfully. Usually, different features contain different discriminative information. So the recognition performance will be improved by utilizing different features extracted from HRRP together. In this paper, a radar target recognition scheme based on multiple features fusion is presented. Firstly, four different features are obtained by using PCA, DCT, LDA and SNPE respectively. Then a simple nearest neighbor classifier (NNC) or nearest neighbor line classifier (NNLC) is employed for classification with each individual feature. Finally, based on the Dempster-Shafer evidential theory, the recognition results with each individual feature are fused efficiently to get a better recognition performance. Experimental results on measured profiles from three aircrafts indicate the effectiveness of the presented method.

关键词： radar target recognition multiple features fusion Dempster-Shafer evidential theory

作者: Zhou Yun Yu Xuelian Cui Minglei Wang Xuegang

作者单位: School of Electronic Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 243-247

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）