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A-posteriori probability decoding of variable-length codes using a three-dimensional trellis representation
University of Kiel. (Institute for Circuits and Systems Theory)
University of Kiel. (Institute for Circuits and Systems Theory)ORCID iD: 0000-0001-9307-484X
2003 (English)In: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, 2003, 2213-2217 p.Conference paper (Refereed)
Abstract [en]

In this contribution we present an improved index-based a-posteriori probability (APP) decoding approach for variable-length encoded packetized data, where implicit residual source correlation is exploited for error protection. The proposed algorithm is based on a novel generalized two-dimensional state representation which leads to a three-dimensional trellis with unique state transitions. APP decoding on this trellis is realized by employing a two-dimensional version of the classical BCJR algorithm. This new method has the advantage that due to the unique state representation all available a-priori information can be fully exploited, which especially holds for the transition probabilities of the Markov model associated with the variable-length encoded source indices. Simulation results for an additional error protection by channel codes and iterative joint source-channel decoding show that the proposed approach leads to an increased error-correction performance compared to previously published results where a one-dimensional state representation is used.

Place, publisher, year, edition, pages
2003. 2213-2217 p.
, IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
National Category
URN: urn:nbn:se:kth:diva-29021ISI: 000189451400431OAI: diva2:394760
IEEE Global Telecommunications Conference (GLOBECOM 03) San Francisco, CA, DEC 01-05, 2003
QC 20110203 NR 20140804Available from: 2011-02-03 Created: 2011-01-25 Last updated: 2012-01-29Bibliographically approved

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