一种基于最小熵准则的新的自聚焦优化算法  

A Novel Autofocus Optimization Algorithm Based on Minimum Entropy Criterion

作　　者：高许岗[1] 苏卫民[1] 顾红[1] 

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《兵工学报》2010年第12期1659-1662,共4页Acta Armamentarii

基　　金：国家自然基金(60672075);国家部委基金资助课题(9140A07010809BQ0205);南京理工大学自主科研专项资助项目(2010ZDJH05);深圳大学ATR国防科技重点实验室资助项目

摘　　要：最小熵方法是合成孔径雷达自聚焦算法的一种,但此方法搜索最优多普勒调频率时需要在整个设置区间搜索,计算量较大。基于最小熵准则,利用图像熵与多普勒调频率的关系,提出了一种新的自聚焦优化算法。该方法利用二分法在整个设置区间能快速搜索到最优多普勒调频率,从而大幅度地降低了运算量。实测数据处理结果证明了此方法的有效性。Minimum entropy method is a method of Synthetic Aperture Radar （SAR） autofocus processing, but it requires whole setting area searching when searching optimized Doppler rate, and has large amount of computation. The paper proposes a novel autofocus optimization algorithm based on minimum entropy criterion. Based on the relationship between entropy and the Doppler rate, the dichotomy which is employed can quickly search optimization Doppler rate and greatly reduce the amount of computation. The processing results of the measured data show the validity of the presented method.

关 键 词：雷达工程 合成孔径雷达 自聚焦 最小熵 

分 类 号：TN957[电子电信—信号与信息处理]