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Momentum fractional LMS for power signal parameter estimation

Zubair, Syed, Chaudhary, Naveed Ishtiaq, Khan, Zeshan Aslam and Wang, Wenwu (2018) Momentum fractional LMS for power signal parameter estimation Signal Processing, 142. pp. 441-449.

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Fractional adaptive algorithms have given rise to new dimensions in parameter estimation of control and signal processing systems. In this paper, we present novel fractional calculus based LMS algorithm with fast convergence properties and potential ability to avoid being trapped into local minima. We test our proposed algorithm for parameter estimation of power signals and compare it with other state-of-the-art fractional and standard LMS algorithms under different noisy conditions. Our proposed algorithm outperforms other LMS algorithms in terms of convergence rate and accuracy.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Zubair, Syed
Chaudhary, Naveed Ishtiaq
Khan, Zeshan Aslam
Date : 7 August 2018
DOI : 10.1016/j.sigpro.2017.08.009
Copyright Disclaimer : © 2017 Elsevier B.V. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : Fractional algorithms; Parameter estimation; Signal processing; Power signal estimation
Depositing User : Clive Harris
Date Deposited : 20 Sep 2017 13:16
Last Modified : 16 Jan 2019 18:56

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