New architecture for high data rate turbo decoding of product codes - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2002

New architecture for high data rate turbo decoding of product codes

Javier Cuevas Ordaz
  • Fonction : Auteur
Patrick Adde
  • Fonction : Auteur
  • PersonId : 946368
Sylvie Kerouedan
  • Fonction : Auteur
  • PersonId : 999099
Ramesh Pyndiah

Résumé

This paper presents a new circuit architecture for turbo decoding, which achieves very high data rates when using product codes as error correcting codes. Although this architecture is independent of the elementary code (convolutional or block) used and of the corresponding decoding algorithms, we focus here on the case of product codes. This innovative circuit architecture stores several data at the same adress and performs parallel decoding to increase the data rate. It is able to process several date simultaneously with one memory (classical designs require m memories); its latency decreases when the amont of data processed simultaneously is large. We present results on block turbo decoder designs of 2-data, 4-date and 8-data decoders (where 2, 4 and 8 are the number of data symbos processed simultaneously). For each decoder circuit, the latency is decreased, the area of the processing unit is inscreased by a factor m and the critical path and memory size are constant (the data rate is increased by m2 if we have m paralel decoders).
Fichier principal
Vignette du fichier
01188421.pdf (2.74 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02465659 , version 1 (04-02-2020)

Identifiants

Citer

Javier Cuevas Ordaz, Patrick Adde, Sylvie Kerouedan, Ramesh Pyndiah. New architecture for high data rate turbo decoding of product codes. GLOBECOM 2002 : IEEE global telecommunications conference, Nov 2002, Taipei, Taiwan. pp.1363 - 1367, ⟨10.1109/GLOCOM.2002.1188421⟩. ⟨hal-02465659⟩
23 Consultations
50 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More