Algorithms for Compressed ISAR Autofocusing

摘要：

This paper is reporting some experimental results of compressed inverse synthetic aperture radar (ISAR) imaging. Autofocusing is applied on the sparse echoes, which consists of range alignment and phase correction as in conventional ISAR processing. Range alignment is implemented through minimizing the entropy of the average range profile, while phase correction is accomplished using the eigenvector method. Experimental results have validated the presented autofocusing scheme, and suggested further applicability of compressed sensing (CS) in the ISAR technique.

关键词： compressed ISAR autofocus range alignment phase correction

作者: Daiyin Zhu Xiang Yu Zhaoda Zhu

作者单位: Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, 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: 533-536

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）