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引用本文：

毛忠阳,王红星,王洪利,等.采用SRM准则对RLS-FIR滤波器的改进[J].电讯技术，2011，51（2）： - . [点击复制]
MAO Zhong-yang,WANG Hong-xing,WANG Hong-li,et al.Improved RLS filters based on structural risk minimum principle[J].，2011，51（2）： - . [点击复制]

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采用SRM准则对RLS-FIR滤波器的改进
毛忠阳,王红星,王洪利,宋恒
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(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SR M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

DOI：

基金项目:

Improved RLS filters based on structural risk minimum principle

MAO Zhong-yang,WANG Hong-xing,WANG Hong-li,SONG Heng

(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 impr ove FIR filter based on structural risk minimum (SRM) principle is presented in this paper. Simulation results show that on cond ition of stationary signals, SRM based filter converges to Wiener optimal solution,and on condition of nonstati onary signals,SRMbased filter significantly improves the tracking performance and is better than adaptive recursive least squares FIR(RLS-FIR) filter.

Key words: wireless communication adaptive filter nonstationary c ondition structure risk minimum(SRM) tracking performance