Adaptive system identification using robust LMS/F algorithm. (22nd February 2013)

• Record Type: Journal Article
• Authors: Gui, Guan; Peng, Wei; Adachi, Fumiyuki
• Is Part Of: International journal of communication systems. Volume 27:Number 11(2014:Nov.)
• Page Start: 2956
• Page End: 2963
• Publication Date: 2013-02-22
• Subjects: Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.2517
• Languages: English
• ISSNs: 1074-5351

Abstract

<abstract abstract-type="main"> <title>ABSTRACT</title> <p>Adaptive system identification (ASI) problems have attracted both academic and industrial attentions for a long time. As one of the classical approaches for ASI, performance of least mean square (LMS) is unstable in low signal‐to‐noise ratio (SNR) region. On the contrary, least mean fourth (LMF) algorithm is difficult to implement in practical system because of its high computational complexity in high SNR region, and hence it is usually neglected by researchers. In this paper, we propose an effective approach to identify unknown system adaptively by using combined LMS and LMF algorithms in different SNR regions. Experiment‐based parameter selection is established to optimize the performance as well as to keep the low computational complexity. Copyright © 2013 John Wiley &amp; Sons, Ltd.</p> </abstract>