On suboptimum component decoding for product codes

Maja Loncar, Rolf Johannesson, J Sayir, Irina Bocharova, Boris Kudryashov

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

The performance and convergence behavior of the iterative schemes for decoding two-dimensional product codes are investigated. The decoding trajectories of the extrinsic and the a posteriori information are used as a main tool for predicting and explaining the behavior of the iterative decoding process. The component-wise optimal BCJR decoder is compared to the suboptimal max-log-MAP decoder and the list-based BEAST-APP decoder in terms of convergence and bit-error-rate performance. The results are illustrated by examples, which show that the BEAST-APP decoder achieves near-BCJR performance with significantly lower complexity
Originalspråkengelska
Titel på värdpublikation2006 IEEE International Symposium on Information Theory
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor2240-2244
ISBN (tryckt)1-4244-0504-1
DOI
StatusPublished - 2006
EvenemangIEEE International Symposium on Information Theory, 2006 - Seattle, Seattle, WA, USA
Varaktighet: 2006 juli 92006 juli 14

Konferens

KonferensIEEE International Symposium on Information Theory, 2006
Förkortad titelISIT06
Land/TerritoriumUSA
OrtSeattle, WA
Period2006/07/092006/07/14

Ämnesklassifikation (UKÄ)

  • Elektroteknik och elektronik

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