变宽度凸组合变阶数LMS自适应滤波算法

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。

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

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.