A Variable Step-size CLMS Algorithm and Its Analysis
Loading...
Date
2020-04
Authors
Fan, Xinfeng
Tan, Zhiliang
Song, Peijiao
Chen, Liwei
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
In this paper, a hyperbolic tangent variable step-size convex combination of the least mean square (HTVSCLMS) algorithm is proposed and analyzed. This work avoids the compromise between the convergence speed and the steady-state error for two filters in convex combination of the least mean square (CLMS) algorithm. In the proposed algorithm, the big step-size filter is replaced by a filter whose iteration step-size is a modified function based on hyperbolic tangent function. Thus it constructs hyperbolic tangent nonlinear relationship between step-size and error. At the same time, the small step-size filter remains unchanged but fixed. So, it conquers the slow convergence speed and the weak anti-interference ability of fixed step-size CLMS. Simulation results show that HTVSCLMS algorithm, compared with CLMS algorithm and variable step-size CLMS (VSCLMS) algorithm, not only has superior capability of tracking in the presence of noise and in a stable and even non-stable environment, but also can maintain a better convergence.
Description
Citation
Radioengineering. 2020 vol. 29, č. 1, s. 182-188. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2019/20_01_0182_0188.pdf
https://www.radioeng.cz/fulltexts/2019/20_01_0182_0188.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en