Combating Error Propagation in Window Decoding of Braided Convolutional Codes
(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:
https://lup.lub.lu.se/record/fb6c198b-405f-43d5-95b0-a29a1d908df1
- author
- Zhu, Min ; Mitchell, David G.M. ; Lentmaier, Michael LU ; Costello, Daniel J. and Bai, Baoming
- organization
- publishing date
- 2018-08-15
- 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
- article number
- 8437819
- pages
- 5 pages
- publisher
- IEEE - 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
- 2022-05-03 06:27:50
@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}}, booktitle = {{2018 IEEE International Symposium on Information Theory, ISIT 2018}}, isbn = {{9781538647806}}, language = {{eng}}, month = {{08}}, pages = {{1380--1384}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Combating Error Propagation in Window Decoding of Braided Convolutional Codes}}, url = {{https://lup.lub.lu.se/search/files/76159688/ZMLCB_ISIT2018_final.pdf}}, doi = {{10.1109/ISIT.2018.8437819}}, volume = {{2018-June}}, year = {{2018}}, }