Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.phycom.2012.04.002
Title: An automatic step-size adjustment algorithm for LMS adaptive filters, and an application to channel estimation
Authors: Wang, P.
Kam, P.-Y. 
Keywords: Adaptive filter
Automatic step-size adjustment
LMS algorithm
Variable step size
Issue Date: Sep-2012
Source: Wang, P.,Kam, P.-Y. (2012-09). An automatic step-size adjustment algorithm for LMS adaptive filters, and an application to channel estimation. Physical Communication 5 (3) : 280-286. ScholarBank@NUS Repository. https://doi.org/10.1016/j.phycom.2012.04.002
Abstract: We propose a least-mean-square adaptive filter with automatic step-size adjustment (ASSA). At each time instant when a new observation of the input signal arrives, a new step-size parameter is chosen such that the sum of the squares of the measured estimation errors up to that current time instant is minimized. This step size, after being normalized by the power of the current tapped filter input, is used to update the filter weights for the next time instant. The filter weights are thus updated automatically without the aid of any preset control parameters. When applied to channel estimation, simulation results show the performance advantage of the ASSA algorithm over the existing step-size adjustment algorithms under different wireless channel environments. © 2012 Elsevier B.V..
Source Title: Physical Communication
URI: http://scholarbank.nus.edu.sg/handle/10635/54999
ISSN: 18744907
DOI: 10.1016/j.phycom.2012.04.002
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