Upper bounds to the error probability of decision feedback equalization

Authors:
S. A. Altekar;N. C. Beaulieu
Affiliations:
Dept. of Electr. Eng., Queen's Univ., Kingston, Ont.;-
Venue:
IEEE Transactions on Information Theory
Year:
2006

Citing 0
Cited 1

A low-complexity decision feedforward equalizer architecture for high-speed receivers on highly dispersive channels

Journal of Control Science and Engineering - Special issue on Hardware Implementation of Digital Signal Processing Algorithms

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Abstract

The exact computation of the symbol error probability of systems using decision feedback equalization is difficult due to the propagation of errors. New upper bounds to the error probability of decision feedback equalization, which take error propagation into account, are developed. The derivations of the bounds assume a causal channel response, independent data symbols, and independent noise samples. The bounds are valid for any noise process that has a symmetric and unimodal probability density function. In some cases, the new bounds are significantly tighter than a well-known upper bound of D.L. Duttweiler et al. (1974)