A Fast Range Alignment Algorithm For ISAR Imaging

摘要：

The envelope correlation algorithm and the minimum entropy algorithm are widely used in range alignment of inverse synthetic aperture radar (ISAR) imaging. However, these types of algorithms have heavy computation burden mainly caused by the searching operation. Aiming at reducing the burden, a fast range alignment algorithm is presented in this paper. Firstly the mean location of each range profile is calculated. Then we fit the trajectory of them with linear regression model. Based on the straight line trajectory of range shift, range alignment can be accomplished. The proposed algorithm avoids the searching operation which is usually used in traditional algorithms. The computational complexity analysis shows that the computation burden of the novel algorithm is proportional to the data volume. Finally, the comparison between the proposed algorithm and the envelope correlation algorithm with real data demonstrates the validity and efficiency of the fast algorithm.

关键词： ISAR range alignment mean location of range profile straight line fitting

作者: Zhijiao Wang Xia Bai Ran Tao

作者单位: Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2214-2217

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）