摘要
针对逆合成孔径雷达(ISAR)成像,该文提出一种快速运动补偿算法,该算法基于二维图像熵,并通过相位补偿的快速迭代,使图像熵逐渐达到最小,从而实现雷达像的自聚焦.实测数据处理结果表明,同现有方法相比,该方法不仅保证熵意义上的最佳聚焦效果,而且还具有较高收敛速度。
A novel fast phase compensation approach based on two-dimensional minimal image entropy is presented in this paper for Inverse Synthetic Aperture Radar(ISAR) imaging. Compared with the other methods, the proposed approach has better effect of autofocusing, better computation efficiency, global minimal entropy as well as explicit expression applied easily, and these advantages are demonstrated by the analysis and data processing results.
出处
《电子与信息学报》
EI
CSCD
北大核心
2004年第10期1656-1660,共5页
Journal of Electronics & Information Technology
基金
新加坡DSO(防卫科学机构)国家实验室'舰船ISAR成像'项目
江苏省教育厅科学基金资助课题
关键词
逆合成孔径雷达(ISAR)
自聚焦
相位补偿
最小熵
Inverse Synthetic Aperture Radar (ISAR), Autofocus
Phase compensation
Minimum entropy
