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
Main Authors: Vega, L. R., Rey, H., Benesty, J., Tressens, S.
Format: Conference Proceeding
Language:English
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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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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2007.367117