Robust Proportionate Subband Adaptive Filter Algorithms With Optimal Variable Step-Size

In this brief, we address the classical tradeoff between the convergence rate and steady-state error in the proportionate subband adaptive filter (PSAF) algorithm by designing an optimal variable step-size (OVSS) strategy that minimizes the mean square deviation at each iteration. To keep low comput...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Vol. 71; no. 4; pp. 2444 - 2448
Main Authors: Yu, Yi, Ye, Jianhong, Zakharov, Yuriy, He, Hongsen
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Acoustic echo cancellation
Acoustic noise
Acoustics
Adaptive algorithms
Adaptive filters
Autocorrelation
Convergence
Heuristic algorithms
impulsive noise
Microgrids
optimal variable step-size
proportionate subband adaptive filter
Robustness
Steady state
Time-domain analysis
ISSN:1549-7747, 1558-3791
Online Access:Get full text
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Summary:In this brief, we address the classical tradeoff between the convergence rate and steady-state error in the proportionate subband adaptive filter (PSAF) algorithm by designing an optimal variable step-size (OVSS) strategy that minimizes the mean square deviation at each iteration. To keep low computational complexity, we also present the vector implementation of OVSS. Furthermore, we extend the OVSS mechanism to the robust PSAF algorithm, to achieve fast convergence and low steady-state error in the impulsive noise. Simulations in an acoustic echo cancellation scenario have illustrated that the proposed algorithms are superior to existing state-of-the-art algorithms.
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ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2023.3328779