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Improvement of the tracking capability of the numerically stable fast RLS algorithms for adaptive filtering

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2 Author(s)
Benallal, A. ; CNET, Lannion, France ; Gilloire, A.

The authors propose a simple and efficient technique to improve the tracking capability of numerically stable fast, least-squares algorithms. The forgetting factor for the adaptation of the filtering part is implicitly modified, while the forgetting factor in the prediction part is kept to a value that ensures the numerical stability. A theoretical analysis of the modified algorithm is presented. Simulation results on a practical example (acoustic echo cancellation) show the efficiency of the proposed technique

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989