Title :
A Bayesian approach to blind equalization using fractional sampling
Author :
Panci, Giampiero ; Scarano, Gaetano ; Jacovitti, Giovanni
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
The optimum design of blind fractionally spaced equalizers is addressed within 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 the Nyquist characteristic (raised cosine). The experienced convergence robustness also results in increased accuracy
Keywords :
Bayes methods; blind equalisers; convergence; higher order statistics; iterative methods; optimisation; signal sampling; Bayesian approach; HOS; Nyquist characteristic; blind equalization; channel-equalizer response; constraints; convergence robustness; fractional sampling; fractionally spaced equalizers; iterative Bussgang-like design; optimum design; raised cosine; Additive noise; Bayesian methods; Blind equalizers; Convergence; Filters; Frequency response; Intersymbol interference; Mean square error methods; Sampling methods; Shape control;
Conference_Titel :
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Caesarea
Print_ISBN :
0-7695-0140-0
DOI :
10.1109/HOST.1999.778702
