Tracking analysis of maximum versoria criterion based adaptive filter
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
IEEE
2024
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/42124/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/42124/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42124/ https://doi.org/10.1109/ACCESS.2024.3370471 |
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| Summary: | 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. |
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