Complexity Reduction of Turbo Equalization Using Cross-Entropy Stopping Criterion
Keywords:
Turbo Equalizer, Stopping Criterion, Average Number of Iterations, Cross-Entropy.Abstract
This article presents the application of the CrossEntropy (CE) stopping criterion to Turbo Equalizer using the Maximum A Posteriori (MAP) algorithm. It is part of reducing computational complexities by decreasing the number of iterations of a turbo receiver. The proposed criterion CE initially for turbo codes is applicable for any type of turbo receiver. We consider here a turbo equalizer MAP of a severe channel that has five coefficients. The simulation results show that the resulting MAP-CE Turbo Equalizer provides the same performances as the Turbo Equalizer, which uses the absolute number of iterations.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)