A New Method of ISAR Motion Compensation Based on Genetic Algorithm

摘要：

Based on genetic algorithm,a new method of ISAR motion compensation is presented in this paper. Aiming to guarantee that GAMIC (genetic algorithm of maximum image contrast) and GAMIE (genetic algorithm of minimum image entropy) converge on the optimum solution,the optimum individual preserved tactical is adopted. Aiming to reduce the heavy computation of GAMIC and GAMIE,the minimum distance and the minimum entropy of the range profile after motion compensation are taken as the fitness functions of genetic algorithm.With improvements described above,two new ISAR motion compensation approaches,named as GAMRD and GAMRE,are proposed in this paper. These two new approaches have been verified by simulation data and measurement ISAR data.

关键词： ISAR Motion Compensation Genetic Algorithm Minimum Entropy Minimum Distance

作者: Xiang Long Liu Runhua Peng Shibao

作者单位: Department of Graduate Management,AFRA,Wuhan 430019,China Research Center of Radar Imaging Technique,AFRA,Wuhan 430019,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: 647-650

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）