Bayesian/decision-feedback algorithm for blind adaptive equalization

K. Giridhar; John J. Shynk; Ronald A. Iltis

doi:10.1117/12.57513

1 June 1992 Bayesian/decision-feedback algorithm for blind adaptive equalization

K. Giridhar, John J. Shynk, Ronald A. Iltis

Author Affiliations +

Optical Engineering, Vol. 31, Issue 6, (June 1992). https://doi.org/10.1117/12.57513

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.

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K. Giridhar, John J. Shynk, and Ronald A. Iltis "Bayesian/decision-feedback algorithm for blind adaptive equalization," Optical Engineering 31(6), (1 June 1992). https://doi.org/10.1117/12.57513

Published: 1 June 1992

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