Combating Error Propagation in Window Decoding of Braided Convolutional Codes

Min Zhu, David G.M. Mitchell, Michael Lentmaier, Daniel J. Costello, Baoming Bai

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

7 Citations (SciVal)
24 Downloads (Pure)

Abstract

In this paper, we study sliding window decoding of braided convolutional codes (BCCs) in the context of a streaming application, where decoder error propagation can be a serious problem. A window extension algorithm and a resynchronization mechanism are introduced to mitigate the effect of error propagation. In addition, we introduce a soft bit-error-rate stopping rule to reduce computational complexity, and the tradeoff between performance and complexity is examined. Simulation results show that, using the proposed window extension algorithm and resynchronization mechanism, the error performance of BCCs can be improved by up to three orders of magnitude with reduced computational complexity.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Information Theory, ISIT 2018
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages1380-1384
Number of pages5
Volume2018-June
ISBN (Print)9781538647806
DOIs
Publication statusPublished - 2018 Aug 15
Event2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States
Duration: 2018 Jun 172018 Jun 22

Conference

Conference2018 IEEE International Symposium on Information Theory, ISIT 2018
Country/TerritoryUnited States
CityVail
Period2018/06/172018/06/22

Subject classification (UKÄ)

  • Telecommunications

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