Tracking analysis of maximum Versoria criterion based adaptive filter

Khalili, Azam, Rastegarnia, Amir, Farzamnia, Ali, Sanei, Saeid and Alghamdi, Thamer A. H. 2024. Tracking analysis of maximum Versoria criterion based adaptive filter. IEEE Access 12 , 30747. 10.1109/ACCESS.2024.3370471

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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:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
ISSN:	2169-3536
Date of First Compliant Deposit:	20 March 2024
Date of Acceptance:	23 February 2024
Last Modified:	20 Mar 2024 14:23
URI:	https://orca.cardiff.ac.uk/id/eprint/167092

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