The optimum design of blind fractionally spaced equalizers is addressed in the framework of a Bayesian approach. The resulting iterative, Bussgang-like equalizer design incorporates constraints on the overall channel-equalizer response in order to meet Nyquist characteristic (raised cosine). The experienced convergence robustness also results in increased accuracy.
A Bayesian approach to blind equalization using fractional sampling / Gianpiero, P., Iacovitti, G., Scarano, G.. - STAMPA. - (1999), pp. 97-101. (IEEE Signal Processing Workshop on Higher-Order Statistics CAESAREA, ISRAEL JUN 14-16, 1999) [10.1109/host.1999.778702].
A Bayesian approach to blind equalization using fractional sampling
IACOVITTI, Giovanni;SCARANO, Gaetano
1999
Abstract
The optimum design of blind fractionally spaced equalizers is addressed in the framework of a Bayesian approach. The resulting iterative, Bussgang-like equalizer design incorporates constraints on the overall channel-equalizer response in order to meet Nyquist characteristic (raised cosine). The experienced convergence robustness also results in increased accuracy.File allegati a questo prodotto
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