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Robustness of blind fractionally-spaced identification/equalization to loss of channel disparity

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2 Author(s)
Touzni, A. ; ETIS/ENEA, Cergy-Pontoise, France ; Fijalkow, I.

We address the comparison of sub-space (SS), linear prediction (LP) and constant modulus (CM) identification/equalization algorithms in terms of robustness to loss of fractionally-spaced channel disparity. We show that SS procedure leads to an inconsistent channel estimation. Investigating a left-inverse channel estimation, we show that LP results in the estimation of the so-called minimum-phase multivariate channel factorization. We show that the CM criterion still perform reasonable channel estimation, even if proper algorithm initialization is still a critical subject

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:5 )

Date of Conference:

21-24 Apr 1997