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.
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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第9期1742-1744,共3页
Acta Electronica Sinica
基金
国家高技术研究发展计划(963计划)课题(No.2003AA782042)
关键词
合成孔径雷达
对比度最优
自聚焦
synthetic aperture radar （SAR）
contrast optimization
autofocus
