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 |
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Date Type: | Published Online |
Status: | Published |
Schools: | 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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