Title :
Variable Step-Size LMS Algorithm With a Gradient-Based Weighted Average
Author :
Hwang, Jeng-Kuang ; Li, Yuan-Ping
Author_Institution :
Dept. of Commun. Eng., Yuan-Ze Univ., Chungli, Taiwan
Abstract :
This paper proposes a new variable step-size least-mean-square (VSLMS) algorithm with an approach in which a gradient-based weighted average is used to improve the weakness of previous VSLMS for application to unknown channel estimation or system identification in low-SNR or colored input environments. The proposed scheme leads to a faster convergence rate and a lower misadjustment error.
Keywords :
adaptive filters; channel estimation; convergence of numerical methods; gradient methods; least mean squares methods; adaptive filter; channel estimation; colored input environment; convergence rate; gradient-based weighted average method; least-mean-square algorithm; system identification; variable step-size LMS algorithm; Adaptive filters; channel estimation; least-mean-square (LMS); variable step-size;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2027653
