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, Panci; Iacovitti, Giovanni; Scarano, Gaetano. - STAMPA. - (1999), pp. 97-101. (Intervento presentato al convegno IEEE Signal Processing Workshop on Higher-Order Statistics tenutosi a CAESAREA, ISRAEL nel 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
