A Fast Range Alignment Approach for ISAR Imaging Based on Minimum Entropy Criterion

摘要：

The range alignment method of ISAR imaging based on the minimum entropy has heaven computational burden and needs long searching time. Aimed at the burden, under the same rule, a novel fast range alignment approach was proposed. The approach mainly makes use of the character that the synthesizing vector generated by two adjacent range echoes has different wave entropy at different time delay, thus the range alignment can be realized with varied step searching manner to reduce searching time and meet the requirement for real processing. The results of the real data processing show the validity of the proposed method.

关键词： ISAR minimum entropy range alignment gradational searching

作者: LIAO Hai-shan HU Guo-qi XIANG Jia-bin PENG Shi-bao

作者单位: Department of Graduate Management,AFRA,Wuhan 430019,China Department of Information & Command Automation,AFRA,Wuhan 430019,China

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）