Please use this identifier to cite or link to this item: https://doi.org/10.1109/WIRELESSVITAE.2009.5172563
Title: A novel automatic step-size adjustment approach in the LMS algorithm
Authors: Wang, P.
Kam, P.Y. 
Chia, M.W.
Keywords: LMS algorithm
NLMS algorithm
Variable step-size
Issue Date: 2009
Source: Wang, P.,Kam, P.Y.,Chia, M.W. (2009). A novel automatic step-size adjustment approach in the LMS algorithm. Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009 : 867-871. ScholarBank@NUS Repository. https://doi.org/10.1109/WIRELESSVITAE.2009.5172563
Abstract: A variable step-size is necessary in the least-mean-square (LMS) algorithm to achieve both fast convergence and a small final excess mean-square estimation error. As a well-studied area, many variations of the LMS algorithm with variable stepsizes have been proposed in the literature. A common point in these algorithms is that the step-size is computed according to some pre-specified formulas with preset control parameters, and therefore the generated step-size is a predetermined constant at each single time point. In this paper, we propose a novel parameter-free step-size adjustment approach, in which the step-size is viewed as a variable, and rechosen at each new time point to minimize a least-squares cost function. Experiments for the linear prediction of random processes show the effectiveness of the proposed approach in rapidly driving the mean-square estimation error to a small final steady-state value. The most significant feature of the new approach is that no control parameters need to be set in advance. © 2009 IEEE.
Source Title: Proceedings of the 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology, Wireless VITAE 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/68944
ISBN: 9781424440672
DOI: 10.1109/WIRELESSVITAE.2009.5172563
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