A Variable Step-Size LMS Adaptive Filtering Algorithm Based on Error Feedback

DOI

10.2991/icetis-13.2013.185How to use a DOI?

Keywords

LMS Algorithm; Adaptive Filtering; Convergence Rate; Steady-state Error

Abstract

In order to solve the problem of LMS algorithm, a new variable step-size LMS algorithm is studied. The algorithm is based on the sigmoid function which builds the non-linear functional relationship between step and error. By introducing the error feedback strategy to adjust the parameters adaptively, the algorithm solves the problem of setting parameters in the function. Compared with other algorithms, simulation results show that the algorithm performs perfect at convergence rate and steady-state error with a better applicability.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fengchun Wang
AU  - Jiyan Du
PY  - 2013/06
DA  - 2013/06
TI  - A Variable Step-Size LMS Adaptive Filtering Algorithm Based on Error Feedback
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 817
EP  - 820
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.185
DO  - 10.2991/icetis-13.2013.185
ID  - Wang2013/06
ER  -