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采用SRM准则对RLS-FIR滤波器的改进
引用本文:毛忠阳,王红星,王洪利,宋 恒. 采用SRM准则对RLS-FIR滤波器的改进[J]. 国际商务研究, 2011, 51(2)
作者姓名:毛忠阳  王红星  王洪利  宋 恒
作者单位:海军航空工程学院 电子信息工程系, 山东 烟台 264001;海军航空工程学院 电子信息工程系, 山东 烟台 264001;海军航空工程学院 电子信息工程系, 山东 烟台 264001;海军航空工程学院 电子信息工程系, 山东 烟台 264001
摘    要:针对自适应FIR滤波器在非平稳条件下跟踪性能差的问题,提出采用结构风险最小化(SRM)准则来改进FIR滤波器的方法,并进行了分析和仿真实验。仿真结果表明:在平稳条件下,采用SRM准则的FIR滤波器收敛于Wiener最优解;在非平稳条件下,采用SRM准则的FIR滤波器跟踪性能大幅提高,优于自适应递推最小二乘(RLS-FIR)滤波器。

关 键 词:无线通信  自适应滤波器   非平稳条件   结构风险最小化  跟踪性能

Improved RLS filters based on structural risk minimum principle
MAO Zhong-yang,WANG Hong-xing,WANG Hong-li and SONG Heng. Improved RLS filters based on structural risk minimum principle[J]. International Business Research, 2011, 51(2)
Authors:MAO Zhong-yang  WANG Hong-xing  WANG Hong-li  SONG Heng
Affiliation:Department of Electronic Information Engineering,Naval Aeronautical and Astronautical University, Yantai 264001,China;Department of Electronic Information Engineering,Naval Aeronautical and Astronautical University, Yantai 264001,China;Department of Electronic Information Engineering,Naval Aeronautical and Astronautical University, Yantai 264001,China;Department of Electronic Information Engineering,Naval Aeronautical and Astronautical University, Yantai 264001,China
Abstract:To solve the problem that the tracking performance of adaptive FIR filter is poor under nonstationary condition, the method to improve FIR filter based on structural risk minimum (SRM) principle is presented in this paper. Simulation results show that on condition of stationary signals, SRM based filter converges to Wiener optimal solution,and on condition of nonstationary signals,SRM based filter significantly improves the tracking performance and is better than adaptive recursive least squares FIR(RLS-FIR) filter.
Keywords:wireless communication  adaptive filter  nonstationary condition  structure risk minimum(SRM)  tracking performance
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