Radar HRRP Target Recognition based on K-SVD Algorithm

摘要：

We develop a K-SVD algorithm based radar HRRP target recognition method, which can adaptively select the sparse decomposition coefficient based on test noise environment. Experimental results on measured data show our method obtains a better performance than PCA based method.

关键词： Radar automatic target recognition (RATR) High-resolution range profile (HRRP) Sparse representation Dictionary Learning K-SVD algorithm.

作者: Bo Feng Lan Du Hong-wei Liu Fei Li

作者单位: National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 642-645

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）