ISAR Autofocus Based on Image Entropy Optimization Algorithm

摘要：

　　An improved autofocus method is presented based on minimum-entropy criterion for inverse synthetic aperture radar imaging.The phase-error corrections are initialized by dominant scatter algorithm,and an iterative method is derived to minimize the image entropy.A local quadratic curve is constructed to gradually approach the extremun of the image entropy function,though minimizing the image entropy,the phase-errors which corrupt the image are obtained.Finally,real ISAR data are used to validate the effectiveness and robustness of this method.The results demonstrate that the proposed method has better effect of autofocusing under low SNR.

关键词： inverse synthetic aperture radar (ISAR) minimum-entropy autofocus algorithm

作者: Qiang Wen Niu Wei Du Kai Wang Xiang-dong Yang Yong-an Du Wei-bing

作者单位: State Key Laboratory of Astronautic Dynamic Xian, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1128-1131

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）