Jacobian approximation of the Sum-Alpha stopping criterion
Dublin Core
Title
Jacobian approximation of the Sum-Alpha stopping criterion
Subject
Error correction
Iterative decoding
Log-MAP algorithm
Stopping rule
Turbo code
Iterative decoding
Log-MAP algorithm
Stopping rule
Turbo code
Description
This article will report the development of new application of the Sum-Alpha stopping criterion to the case of log – maximum a posterioru Log-MAP turbo decoding. It shows how to adapt Sum-Alphas quantities when using the Log-MAP algorithm and how to deduce a good decision threshold. We apply a logarithm to the quantity Sum-Alpha which is evaluated by the same Jacobian logarithm of the Log-MAP algorithm. We call this new adaptation Jacobian Approximation of Sum-Alpha (JASA) criterion. The simulation results demonstrate that the JASA criterion achieves comparable performance (in terms of bit error rate (BER) and frame error rate (FER)) to the Sum-Alpha and cross-entropy (CE) criteria, with the same average number of iterations.
Creator
Aissa Ouardi
Source
Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Mar 23, 2025
Contributor
PERI IRAWAN
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Aissa Ouardi, “Jacobian approximation of the Sum-Alpha stopping criterion,” Repository Horizon University Indonesia, accessed January 11, 2026, https://repository.horizon.ac.id/items/show/10036.