Increasing the robustness of a preconditioned filtered-X LMS algorithm

Fraanje, P.R.; Verhaegen, M.; Doelman, N.J.

Increasing the robustness of a preconditioned filtered-X LMS algorithm

article

2004

Fraanje, P.R.

Verhaegen, M.

Doelman, N.J.

This letter presents a robustification of the preconditioned Filtered-X LMS algorithm proposed by Elliott et al.. The method optimizes the average performance for probabilistic uncertainty in the secondary path and relaxes the SPR condition for global convergence. It also prevents large amplification in the pre-conditioning filters due to secondary path zeros on and/or close to the unit circle, which may yield overactuation in practical applications.

Topics

Acoustic noise Adaptive control systems Algorithms Amplification Convergence of numerical methods Optimization Probability Robustness (control systems)Vibration control Adaptive signal processing Feedforward systems Robust filtering Adaptive filtering

TNO Identifier

237596

Repository link

https://resolver.tno.nl/uuid:e8663dcd-2db4-44a7-b48d-4ba3e5d73bf2

ISSN

10709908

Source

IEEE Signal Processing Letters, 11(2 PART II), pp. 285-288.

Pages

285-288

Files

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Increasing the robustness of a preconditioned filtered-X LMS algorithm

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