A New Performance Evaluation Metric for Sub-Optimal Iterative Decoders - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Communications Letters Année : 2009

A New Performance Evaluation Metric for Sub-Optimal Iterative Decoders

Résumé

In this letter, a new metric for fast and efficient performance evaluation of iterative decoding algorithms is proposed. It is based on the estimation of distance between probability density function (pdf) of the symbol log likelihood ratio (LLR) of optimal and suboptimal iterative decoding algorithms. We apply the notion of entropy to evaluate this function. The metric is tested on data sets from the different sub optimal algorithms for the duo binary turbo codes used in WiMax (802.16e) application and the (251,502) Galois Field (26) LDPC codes. Experimental results confirm that the values of the proposed metrics correlate well with the BER performance of the suboptimal implementation of the iterative decoding algorithm.

Domaines

Electronique
Fichier principal
Vignette du fichier
IEEE_comm_letter_08_distance_1_.pdf (152.11 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00449993 , version 1 (24-01-2010)

Identifiants

  • HAL Id : hal-00449993 , version 1

Citer

Ashwani Singh, Ali Al-Ghouwayel, G. Masera, Emmanuel Boutillon. A New Performance Evaluation Metric for Sub-Optimal Iterative Decoders. IEEE Communications Letters, 2009, 13 (7), pp. 513-515. ⟨hal-00449993⟩
227 Consultations
523 Téléchargements

Partager

Gmail Facebook X LinkedIn More