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Optical Engineering

Blind equalization using stop-and-go adaptation rules
Author(s): Dimitrios Hatzinakos
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Paper Abstract

Stop-and-go adaptation rules that are utilized to improve the blind convergence characteristics of the conventional and sign decision-directed algorithms are proposed and examined. They are based on the Sato- and Godard-type errors, which are utilized in many blind deconvolution applications. The convergence rates achieved by the algorithms with quadrature amplitude modulated signal constellations and nonminimum phase communication channels are compared. Based on a new criterion, the optimal values of the Sato and Godard error parameters are redefined. The optimality of the new parameter values is confirmed by means of computer simulations.

Paper Details

Date Published: 1 June 1992
PDF: 8 pages
Opt. Eng. 31(6) doi: 10.1117/12.57519
Published in: Optical Engineering Volume 31, Issue 6
Show Author Affiliations
Dimitrios Hatzinakos, Univ. of Toronto (Canada)

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