SVM Target Identification Method Based on HRRP Sample Partition

摘要：

On the basic of analyzing the quality and characteristic of high resolution range profile (HRRP),aim at its azimuth sensitivity and feature instability,one kind of sample partition method based on the HRRPs inner correlation coefficient threshold value was proposed,and it was adopted to partition experiment targets HRRP into some subspace. The support vector machine (SVM) was trained by the sample that made up from some HRRP selected from the some sample subspace. The targets were identified by the trained SVM,and the correct identification rate is clearly better than the SVM trained by random sample. So,the method was a sort of valid and correct target identification method.

关键词： HRRP SVM feature extraction target identification sample partition

作者: Haitao Liang Chuangming Tong

作者单位: Missile Institute The Chinese PLA Air Force Engineering University Sanyuan,Shaanxi,713800 China

会议类型: 国际会议

会议名称: 2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)

会议地点: 南京

会议语种:英文

页码: 2047-2050

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）