A robust adaptive filtering algorithm against impulsive noise

LEONARDO REY VEGA; HERNÁN REY; JACOB BENESTY; SARA TRESSENS

Honolulu, Hawaii

Conferencia; IEEE International Conferece on Acoustics, Speech and Signal Processing, ICASSP; 2007

IEEE

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.