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Combating Error Propagation in Window Decoding of Braided Convolutional Codes

Zhu, Min; Mitchell, David G.M.; Lentmaier, Michael LU ; Costello, Daniel J. and Bai, Baoming (2018) 2018 IEEE International Symposium on Information Theory, ISIT 2018 2018-June. p.1380-1384
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.

Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2018 IEEE International Symposium on Information Theory, ISIT 2018
volume
2018-June
pages
5 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
2018 IEEE International Symposium on Information Theory, ISIT 2018
conference location
Vail, United States
conference dates
2018-06-17 - 2018-06-22
external identifiers
  • scopus:85052485119
ISBN
9781538647806
DOI
10.1109/ISIT.2018.8437819
language
English
LU publication?
yes
id
fb6c198b-405f-43d5-95b0-a29a1d908df1
alternative location
https://arxiv.org/pdf/1801.03235.pdf
date added to LUP
2018-10-08 15:21:04
date last changed
2018-11-21 21:42:10
@inproceedings{fb6c198b-405f-43d5-95b0-a29a1d908df1,
  abstract     = {<p>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.</p>},
  author       = {Zhu, Min and Mitchell, David G.M. and Lentmaier, Michael and Costello, Daniel J. and Bai, Baoming},
  isbn         = {9781538647806},
  language     = {eng},
  location     = {Vail, United States},
  month        = {08},
  pages        = {1380--1384},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Combating Error Propagation in Window Decoding of Braided Convolutional Codes},
  url          = {http://dx.doi.org/10.1109/ISIT.2018.8437819},
  volume       = {2018-June},
  year         = {2018},
}