| 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,SRMbased 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 |
