Statistical Feature Selection of Narrowband RCS Sequence Based on Greedy Algorithm

摘要：

Greedy algorithm is introduced to select the statistical features of narrowband RCS sequences. A novel cost function for Greedy algorithm is proposed. The experiment results demonstrate the rationality of the novel cost function and the effectiveness of Greedy algorithm.

关键词： greedy algorithm cost function feature selection narrowband RCS sequence target recognition

作者: Xuehui Lei Xiongjun Fu Cai Wang Meiguo Gao

作者单位: Radar Research Laboratory, Beijing Institute of Technology, Beijing 100081, P.R. 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: 1664-1667

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）