An efficient soft-input scaling scheme for turbo decoding

Yi Nan Lin*, Wei Wen Hung, Wei Chen Lin, Tsan Jieh Chen, Erl Huei Lu

*Corresponding author for this work

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

8 Scopus citations

Abstract

As the number of iterations increases, the soft inputs and outputs of a turbo decoder gradually become more reliable. To take the effect into account, this paper presents an efficient adaptive scaling scheme for turbo decoding that extends the sign difference ratio (SDR) technique. Unlike the conventional approach using a fixed set of scaling factors, it adoptively determines the scaling factor for each data block. Simulation results show that the proposed scaling scheme can reduce up to 1/4 - 1/2 iteration when compared to the existing stopping criteria while achieving 0.1 - 0.2 dB coding gain improvement on average.

Original languageEnglish
Title of host publicationProceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Pages252-255
Number of pages4
DOIs
StatePublished - 2006
EventIEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Taichung, Taiwan
Duration: 05 06 200607 06 2006

Publication series

NameProceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
Volume2006 I

Conference

ConferenceIEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
Country/TerritoryTaiwan
CityTaichung
Period05/06/0607/06/06

Keywords

  • Adaptive scaling scheme
  • Coding gain improvement
  • Sign difference ratio (SDR) technique
  • Turbo decoder

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