基于FastICA的二次雷达混扰信号分选改进算法  

FastICA Based Garbled Secondary Surveillance Radar Replies Separating Method

作　　者：李丞 张玉 唐波[1] 

机构地区：[1]国防科技大学电子对抗学院,安徽合肥230037

出　　处：《探测与控制学报》2018年第1期49-53,59,共6页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(61201379);安徽省自然科学基金项目资助(120805QF103)

摘　　要：针对二次监视雷达(SSR)应答信号利用FastICA算法进行分选时,容易出现分选时间较长、计算量较大、分选效果不佳的情况,在FastICA算法的基础上提出改进算法。该算法首先利用投影算法(PA)对权值矩阵W进行初步估计;进而通过负熵的度量进行迭代寻求最佳解,求解得出分离矩阵;最后利用分离矩阵实现对混扰信号进行有效分选。仿真验证表明,该改进算法在复杂环境下有效进行模式信号分选,且其性能在相较同类算法时具有更好的抗噪性能与分选性能。The method of FastICA to separate garbled secondary surveillance radar(SSR)replies signals has the problems of much time consuming and large amount of calculation,An improved method was proposed in this paper.Firstly,the algorithm used PA to estimate the separating matrix W.Then,the iteration on measures of negentropy was used to get the best matrix.Finally,garbled signals were separated effectively with sererating matrix.Numerical simulations showed that the proposed method could separate multiple replies accurately in the complex environment and it was better than the algorithm of nc-FastICA obviously in the separation performance.

关 键 词：二次雷达 信号分选 迭代 

分 类 号：TN958.96[电子电信—信号与信息处理]