A Novel Autofocus Algorithm for SAR Images

摘要：

A novel autofocus algorithm for synthetic aperture radar(SAR) images is presented in this paper,which is based on total variation.The method,which starts with complex phase-degraded SAR image,after phase errors model is introduced into the range-compressed phase history domain,carries out phase errors correction by changing the focus until the total variation of the azimuth profile is maximized.Compared with minimum entropy autofocus algorithm,this autofocus algorithm has less computational complexity and easy to implement.The simulation and the processing results of the measured data show the validity of the proposed method.

关键词： Synthetic Aperture Radar total variation Autofocus Phase errors

作者: MA Lun RU Feng

作者单位: School of Information Engineering Changan University Xian 710064 China School of Electronic & Control Changan University Xian 710064 China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 29-31

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）