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Proceedings Paper

An improved S-function LMS algorithm
Author(s): Ying Ma; Zhijun Zhang; Yang Xu
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Paper Abstract

LMS algorithm based on the S-function has a small amount of calculation, faster convergence rate and good tracking properties for time-varying systems. But when the signal’s error is small, the step factor changes too fast, system identification is not quick enough and the controllable variables are few. To solve the shortcomings, an improved S-function algorithm has been proposed. Simulation results show that the convergence rate of the algorithm is superior to other improved algorithms, and the tracking property for the time-varying system is better than the improved normalized LMS algorithms. The algorithm proposed in this paper not only overcomes the discrepancy between the signal’s error and step factor, but also makes the algorithm more flexible by introducing a new controllable variable.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941B (3 December 2015); doi: 10.1117/12.2205730
Show Author Affiliations
Ying Ma, Air Force Engineering Univ. (China)
Zhijun Zhang, Air Force Engineering Univ. (China)
Yang Xu, Air Force Engineering Univ. (China)

Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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