Blind equalization using stop-and-go adaptation rules

Dimitrios Hatzinakos

doi:10.1117/12.57519

1 June 1992 Blind equalization using stop-and-go adaptation rules

Dimitrios Hatzinakos

Author Affiliations +

Optical Engineering, Vol. 31, Issue 6, (June 1992). https://doi.org/10.1117/12.57519

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.

Citation Download Citation

Dimitrios Hatzinakos "Blind equalization using stop-and-go adaptation rules," Optical Engineering 31(6), (1 June 1992). https://doi.org/10.1117/12.57519

Published: 1 June 1992

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