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Optical Engineering

Bayesian/decision-feedback algorithm for blind adaptive equalization
Author(s): K. Giridhar; John J. Shynk; Ronald A. Iltis
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Paper Abstract

A new blind equalization algorithm is presented that incorporates a Bayesian channel estimator and a decision-feedback (DF) adaptive filter. The Bayesian algorithm operates as a preprocessor on the received signal to provide an initial estimate of the channel coefficients. It is an approximate maximum a posteriori (MAP) sequence estimator that generates reliable estimates of the transmitted symbols. These decisions are then filtered by an adaptive decision-feedback algorithm to further reduce the intersymbol interference. The new algorithm is more robustto catastrophic error propagation thanthe standard decision-feedback equalizer (DFE), with only a modest increase in the computational complexity.

Paper Details

Date Published: 1 June 1992
PDF: 13 pages
Opt. Eng. 31(6) doi: 10.1117/12.57513
Published in: Optical Engineering Volume 31, Issue 6
Show Author Affiliations
K. Giridhar, Univ. of California (United States)
John J. Shynk, Univ. of California/Santa Barbara (United States)
Ronald A. Iltis, Univ. of California/Santa Barbara (United States)


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