A Robust Adaptive Filtering Algorithm Against Impulsive Noise

A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm of the filter update. Particularly, we will derive a robust variable step-size NLMS algorithm which optimizes the square...

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Bibliographic Details
Published in2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 3; pp. III-1437 - III-1440
Main Authors Vega, L. R., Rey, H., Benesty, J., Tressens, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Acoustic applications
acoustic echo cancellation
Acoustic testing
Adaptive filters
Constraint optimization
Cost function
Filtering algorithms
impulsive noise
NLMS algorithm
Noise robustness
robust filtering
Statistics
System identification
System testing
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ISBN9781424407279
1424407273
ISSN1520-6149
DOI10.1109/ICASSP.2007.367117

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Summary:A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm of the filter update. Particularly, we will derive a robust variable step-size NLMS algorithm which optimizes the square norm of the a posteriori error subject to the constraint on the norm of the filter change. We also show the link between the proposed algorithm and another one derived using a robust statistics approach. The algorithm is then tested in different environments for system identification and acoustic echo cancelation applications.
ISBN:9781424407279
1424407273
ISSN:1520-6149
DOI:10.1109/ICASSP.2007.367117