基于遗传算法的多径衰落信道下的RLS均衡  

RLS Equalization of Multipath Fading Based on GA

作　　者：史煜[1] 钮毅锋 郭道省[3] 童新海[3] 

机构地区：[1]解放军理工大学通信工程学院研究生2队 [2]中国人民解放军71496部队 [3]解放军理工大学通信工程学院

出　　处：《军事通信技术》2016年第2期11-14,共4页Journal of Military Communications Technology

摘　　要：针对RLS自适应算法中固定遗忘因子在不同信道条件下的无法使每种信道的滤波效果达到最优的问题,提出运用遗传算法对遗忘因子进行寻优,通过MATLAB对信号在多径衰落条件下RLS滤波器的遗忘因子寻优仿真,解决了对于RLS滤波器在不同信噪比条件下的最优遗忘因子该如何确定的问题,并且通过最优遗忘因子和非最优遗忘因子的RLS滤波器滤波的仿真结果对比,得出最优遗忘因子的RLS滤波器的收敛速率显著优于非最优遗忘因子RLS滤波器的结论。To solve the problem that fixed forgetting factor can＇t make the optimal smoot- hing for each kind of channel, the method of GA used in RLS adaptive equation was proposed. Matlab was utilized to simulate the condition that a signal passes muhipath fading channel and search the optimal forgetting factor used in RLS adaptive filter. The method figures out the prob- lem of picking out the optimal forgetting factor when the SNR is different. Compared with the fixed forgetting factor in RLS filter, the rate of convergence of the optimal forgetting factor in RLS filter is faster than that without optimal forgetting factor.

关 键 词：遗传算法 递推最小二乘算法 多径衰落 自适应均衡 遗忘因子 

分 类 号：TN927[电子电信—通信与信息系统]