局部熵算法在机载PD雷达杂波跟踪中的应用  

Application of Local Entropy Algorithm on Clutter Tracking

作　　者：张弓[1] 朱兆达[1] 周亦南[1] 

机构地区：[1]南京航空航天大学信息科学与技术学院,江苏南京210016

出　　处：《电子学报》2003年第9期1295-1298,共4页Acta Electronica Sinica

摘　　要：本文介绍一种用于机载PD雷达的杂波跟踪技术 ,结合机载PD雷达杂波分布特征和局部熵算法的特点 ,将局部熵算法用于杂波跟踪 ,提出一种最大局部熵相似性判决准则对经过局部熵滤波后的仿真数据进行分割处理 ;将局部熵滤波与K邻域滤波结合 ,构成混合型滤波器 ,经仿真实验 。This paper introduces a clutter tracking technique used for airborne PD radar. Combining the clutter feature of airborne PD radar and characteristic of local entropy algorithm, this algorithm is applied to the clutter tracking. The judging criteria of similarity to maximum local entropy that is used to segment the simulated data after local entropy filter is proposed. The hybrid filter, which is composed of K-nn filter and local entropy filter, is used to get clutter edge detection. This scheme is verified to be successful in several typical experiments.

关 键 词：PD雷达 杂波跟踪 图像处理 局部熵 K邻域滤波 专家系统 

分 类 号：TN957.51[电子电信—信号与信息处理]