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Proportionate Frequency Domain Adaptive Algorithms for Blind Channel Identification

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3 Author(s)
R. Ahmad ; Imperial College London, UK. Email: ; A. W. H. Khong ; P. A. Naylor

We present fast-converging adaptive blind channel identification algorithms for acoustic room impulse responses. These new algorithms exploit the fast-convergence of the improved proportionate normalized least-mean-square (IPNLMS) algorithm and address the problem of delay inherent in frequency domain algorithms by employing the multi-delay filter (MDF) structure. Simulation results for both speech and white Gaussian noise show that the proposed algorithms outperform current frequency domain blind channel estimation algorithms

Published in:

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings  (Volume:5 )

Date of Conference:

14-19 May 2006