扩频系统中基于Kalman滤波的最优干扰抑制技术  

The Optimum Interference Suppression Technique Based on Kalman Filtering for Spread Spectrum Systems

作　　者：李琳[1] 周文辉[2] 谭述森[1] 

机构地区：[1]北京环球信息应用开发中心,北京100094 [2]北京系统工程研究所,北京100101

出　　处：《电子学报》2011年第10期2444-2448,共5页Acta Electronica Sinica

摘　　要：针对扩频系统中的干扰抑制问题,本文首先将其建模为附加约束的最小化均值输出能量(MMOE)问题,然后借助正交分解将约束MMOE转化为无约束最小均方误差(MMSE),接着通过选择合适的状态变量、建立合适的状态方程和观测方程得到盲Kalman滤波(BKF)算法,最后分析了BKF算法性能.研究表明:BKF的收敛性能与输入相关矩阵几乎无关,能快速跟踪环境变化,稳态干扰抑制性能逼近最优性能;明显优于盲最小均方(BLMS)和盲递推最小二乘(BRLS)算法.In this paper,the interference suppression of spread spectrum systems is treated as constrained minimum mean output energy（MMOE）.After an orthogonal decompose procedure for transforming the MMOE problem to unconstrained minimum mean square error（MMSE） one and a construction for state equation and observation equation,and then the blind Kalman filtering（BKF）,i.e.,absence of a desire signal,is developed and analyzed.The research results indicate that the BKF algorithm is insensitive to variations in the correlation matrix,fast response to the changing environment,and close to level of optimization with iterative operation.Hence,it is superior to the blind least mean square（BLMS） and blind recursive least squares（BRLS） algorithms.

关 键 词：扩频 干扰抑制 最小均值输出能量 盲最小均方算法 盲递推最小二乘算法 盲Kalman滤波 

分 类 号：TN911[电子电信—通信与信息系统]