Tracking analysis of maximum Versoria criterion based adaptive filter

Khalili, A, Rastegarnia, A, Farzamnia, A, Sanei, S ORCID: https://orcid.org/0000-0002-3437-2801 and Alghamdi, TAH, 2024. Tracking analysis of maximum Versoria criterion based adaptive filter. IEEE Access, 12, pp. 30747-30753. ISSN 2169-3536

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Abstract

Recently, maximum Versoria criterion-based adaptive algorithms have been introduced as a new solution for robust adaptive filtering. This paper studies the steady-state tracking analysis of an adaptive filter with maximum Versoria criterion (MVC) in a non-stationary (Markov time-varying) system. Our analysis relies on the energy conservation method. Both Gaussian and general non-Gaussian noise are considered, and for both cases, the closed-form expression for steady-state excess mean square error (EMSE) is derived. Regardless of noise type, unlike the stationary environment, the EMSE curves are not increasing functions of step-size parameter. The validity of the theoretical results is justified via simulation.

Item Type:	Journal article
Publication Title:	IEEE Access
Creators:	Khalili, A., Rastegarnia, A., Farzamnia, A., Sanei, S. and Alghamdi, T.A.H.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	26 February 2024
Volume:	12
ISSN:	2169-3536
Identifiers:	Number Type 10.1109/access.2024.3370471 DOI 1897209 Other
Rights:	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/
Divisions:	Schools > School of Science and Technology
Record created by:	Jeremy Silvester
Date Added:	24 May 2024 08:55
Last Modified:	24 May 2024 08:55
URI:	https://irep.ntu.ac.uk/id/eprint/51472

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