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基于对比度最优准则的自聚焦优化算法研究
引用本文:邓云凯,王宇,杨贤林,张志敏.基于对比度最优准则的自聚焦优化算法研究[J].电子学报,2006,34(9):1742-1744.
作者姓名:邓云凯  王宇  杨贤林  张志敏
作者单位:中国科学院电子学研究所,北京100080;中国科学院研究生院,北京,100039
基金项目:国家高技术研究发展计划(963计划)课题(No.2003AA782042)
摘    要:对比度最优自聚焦算法是一种基于图像幅度的自聚焦方法.本文将对比度最优自聚焦算法等效为一个求解局部最优解的优化模型.结合实际SAR(Synthetic Aperture Radar)系统的特征采用了两种解决此优化问题的算法:黄金分割和Fibonacci级数法,和传统方法相比,这两种优化方法明显提高了对比度最优自聚焦算法的运算效率.

关 键 词:合成孔径雷达  对比度最优  自聚焦
文章编号:0372-2112(2006)09-1742-03
收稿时间:2005-01-11
修稿时间:2005-01-112006-05-23

The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion
DENG Yun-kai,WANG Yu,YANG Xian-lin,ZHANG Zhi-min.The Research of Autofocus Optimization Algorithm Based on Contrast Optimization Criterion[J].Acta Electronica Sinica,2006,34(9):1742-1744.
Authors:DENG Yun-kai  WANG Yu  YANG Xian-lin  ZHANG Zhi-min
Affiliation:1. Institute of Electronics,Chinese Academy of Sciences,Beijing 100080,China;2. Graduate School of the Chinese Academy of Sciences,Beijing 100039,China
Abstract:The Contrast optimization algorithm is a magnitude-based autofocus algorithm.The contrast optimization algorithm is described as an optimization model via which the local optimal solution can be achieved.Two optimization methods,Golden section and Fibonacci series,are employed to deal with this optimization model according to features of practical SAR(Synthetic Aperture Radar) systems.Efficiency of the contrast optimization algorithm is greatly improved compared with the quondam methods due to the application of the model and the two methods which are mentioned above.
Keywords:synthetic aperture radar(SAR)  contrast optimization  autofocus
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