Tracking analysis of maximum versoria criterion based adaptive filter

Azam Khalili and Amir Rastegarnia and Ali Farzamnia and Saeid Sanei and Thamer a. H. Alghamdi (2024) Tracking analysis of maximum versoria criterion based adaptive filter. IEEE Access, 12. pp. 1-7. 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:	Article
Keyword:	Adaptive filter, non-stationary, performance analysis, tracking, Versoria.
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics
Department:	FACULTY > Faculty of Engineering
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	06 Dec 2024 13:12
Last Modified:	06 Dec 2024 13:13
URI:	https://eprints.ums.edu.my/id/eprint/42124

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