一种基于随机动态线性模型的重频分选的改进算法  

An Improved Algorithm for the Deinterleaving of Radar Signals Based on Stochastic Dynamic Linear Models

作　　者：赵长虹[1] 赵国庆[1] 

机构地区：[1]西安电子科技大学电子对抗研究所,陕西西安710071

出　　处：《系统工程与电子技术》2003年第9期1049-1051,共3页Systems Engineering and Electronics

基　　金："十五"武器装备预研项目资助课题(41101030403)

摘　　要：分析了几种基于随机动态线性模型的重频分选算法,并在随机动态线性模型的基础上,提出了一种利用Kalman滤波进行重频分选的新算法。与传统的重频分选算法相比,该算法非常适用于对抖动PRI脉冲列的分选,尤其适用于多列脉冲交织在一起的情形。仿真结果表明,该算法在PRI变化范围已知的情况下对抖动PRI脉冲列的分选效果良好。In this paper several algorithms for the deinterleaving of the radar signals are studied and a new algorithm which uses a Kalman filter and stochastic dynamic linear models is presented. Compared with conventional algorithms, this algorithm is suitable for the deinterleaving of radar signals with jittered PRI, especially for several interleaved radar pulse trains. Simulation results show that given PRI ranges, this algorithm is very successful to the deinterleaving of radar signals with constant PRI or jittered PRI.

关 键 词：脉冲重复频率 脉冲重复间隔 随机动态线性模型 分选 

分 类 号：TN973[电子电信—信号与信息处理]