Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (3): 451-456.doi: 10.3969/j.issn.1001-506X.2012.03.04

• 电子技术 • 上一篇    下一篇

变宽度凸组合变阶数LMS自适应滤波算法

芮国胜1,苗俊2,张洋2,王林2   

  1. 1. 海军航空工程学院电子信息工程系, 山东 烟台 264001;
    2. 海军航空工程学院研究生管理大队, 山东 烟台 264001
  • 出版日期:2012-03-22 发布日期:2010-01-03

Convex combination of adaptive filters for variable width and variable fractional tap-length LMS algorithm

RUI Guo-sheng1, MIAO Jun2, ZHANG Yang2, WANG Lin2   

  1. 1. Department of Electronic Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Graduate Students’ Brigade, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Online:2012-03-22 Published:2010-01-03

摘要:

为了进一步改善凸组合变阶数最小均方(convex combination variable fractional tap-length least mean square,CFTLMS)自适应滤波算法的稳态性能,在证明其稳态性能的基础上,提出了一种变宽度凸组合变阶数(variable width-CFTLMS, VW-CFTLMS)自适应滤波算法,并给出参数的选择依据。仿真结果验证了低信噪比情况下,VW-CFTLMS算法稳态性能和参数选择依据的正确性;同时该算法的稳态性能要优于CFTLMS算法,其额外均方误差相比于CFTLMS算法降低约1.8 dB,具有实用价值。

Abstract:

To further improve the steady-state performance of the convex combination of adaptive filter for variable fractional tap-length least mean square (CFTLMS) algorithms, a convex combination of variable width (VW) and variable tap-length adaptive filtering algorithm is proposed based on the proof of the steady-state performance of CFTLMS algorithm, and the choice principles of parameters are given. Simulation results show the correctness of steady-state performance analysis and parameter selection principles of the VW-CFTLMS algorithm under lower SNR condition, and the steady-state performance of the algorithm is superior to that of the CFTLMS algorithm, of which the excess mean square error is lowered by about 1.8 dB.

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