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Blind identification for Turbo codes in AMC systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Blind identification for channel codes are essential in adaptive modulation and coding (AMC) systems. Since Turbo codes are popular in AMC systems, it's necessary to identify its parameters. In this paper, we focus on the identification for Turbo codes from a closed-set. The proposed approach firstly identifies the first component code by accumulating Log-Likelihood Ratio (LLR) for syndrome a posteriori probability, then the interleaver and the other component code are identified by decoding based on zero insertion and LLR accumulation. This approach is robust to noise due to LLR. Moreover, it applies to both symmetric Turbo codes with two same component codes and asymmetric Turbo codes with two different component codes. Simulation results demonstrate that the proposed blind identification scheme is able to identify Turbo codes at signal-to-noise ratio (SNR) larger than 3.5dB.

Original languageEnglish
Title of host publicationProceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-47
Number of pages5
ISBN (Electronic)9781509017805
DOIs
StatePublished - 7 Oct 2016
Event8th IEEE International Conference on Communication Software and Networks, ICCSN 2016 - Beijing, China
Duration: 4 Jun 20166 Jun 2016

Publication series

NameProceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016

Conference

Conference8th IEEE International Conference on Communication Software and Networks, ICCSN 2016
Country/TerritoryChina
CityBeijing
Period4/06/166/06/16

Keywords

  • LLR
  • Turbo codes
  • blind identification
  • zero insertion decoding

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