DocumentCode :
3608305
Title :
A New 
-LMS Algorithm With Adaptive Zero Attractor
Author :
Chengcheng Wang ; Yonggang Zhang ; Ye Wei ; Ning Li
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Volume :
19
Issue :
12
fYear :
2015
Firstpage :
2150
Lastpage :
2153
Abstract :
In the l0 norm constraint least mean square (l0-LMS) algorithm, the zero attractor is an important parameter which balances the trade-off between the convergence rate and steady-state error of the algorithm. However, there is no practically effective choice guideline of this parameter. In addition, the optimal value of this parameter should be time-varying when the measurement noise power varies with time, and a fixed value of the zero attractor is no longer suitable. In this letter, we propose an l0-LMS algorithm with adaptive zero attractor for applications with time-varying measurement noise signal, where the zero attractor is updated based on the criterion of maximizing the decrease of the transient mean square deviation.
Keywords :
adaptive signal processing; convergence of numerical methods; least mean squares methods; noise; adaptive zero attractor; convergence rate; least mean square algorithm; steady state error; time-varying measurement noise signal; transient mean square deviation; Approximation algorithms; Least squares approximations; Mathematical model; Noise measurement; Signal processing algorithms; Transient analysis; $l_0$-LMS algorithm; adaptive zero attractor; l0-LMS algorithm; sparse system identification; time-varying measurement noise signal;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2015.2490665
Filename :
7298370
Link To Document :
