Radar Target Recognition Based on Combined Features of High Range Resolution Profiles

摘要：

This paper is focused on the feature extraction techniques of radar high range resolution profiles (HRRPs).In order to release the translational sensitivity of HRRPs,two translation invariant features,the central moments and distribution entropy,are extracted from the HRRPs and combined to form a new feature vector.Experiment on real data of three airplanes in flight is implemented to evaluate the recognition performance of the combined feature,using the nearest neighbour (NN) classifier and the support vector machine (SVM) classifier,respectively.Experimental results demonstrate that the combined feature can significantly enhance the separability of different targets and improve the average recognition rate of HRRP target recognition.

关键词： HRRP feature eztraction central moments distribution entropy combined feature

作者: Liu Mingjing Zou Zhefeng Hao Ming

作者单位: Nanjing Research Institute of Electronics Technology,Nanjing,210013,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 876-879

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）