Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Braided Convolutional Self-orthogonal Codes with Double Sliding Window Decoding

Zhu, Min ; Cummins, Andrew D. ; Mitchell, David G.M. ; Lentmaier, Michael LU and Costello, Daniel J. (2023) 12th International Symposium on Topics in Coding, ISTC 2023
Abstract

In this paper, we investigate a class of braided convolutional codes (BCCs), where the component codes are convolutional self-orthogonal codes (CSOCs), called braided convolutional self-orthogonal codes. Compared to conventional BCCs, the advantages of braided CSOCs include the availability of several low-complexity decoding methods and the relative ease of extending these methods to high rates More specifically, to construct high-rate braided codes, it is necessary to use higher-rate component codes, which results in exponentially higher decoding complexity with conventional BCJR decoding, whereas the complexity of the CSOC decoding methods proposed here grows only linearly with rate. In particular, we introduce a double sliding window... (More)

In this paper, we investigate a class of braided convolutional codes (BCCs), where the component codes are convolutional self-orthogonal codes (CSOCs), called braided convolutional self-orthogonal codes. Compared to conventional BCCs, the advantages of braided CSOCs include the availability of several low-complexity decoding methods and the relative ease of extending these methods to high rates More specifically, to construct high-rate braided codes, it is necessary to use higher-rate component codes, which results in exponentially higher decoding complexity with conventional BCJR decoding, whereas the complexity of the CSOC decoding methods proposed here grows only linearly with rate. In particular, we introduce a double sliding window decoding method based on belief propagation (BP) for braided CSOCs, which exhibits good performance while maintaining low-complexity decoding for the higher rates required in many applications.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Braided convolutional codes, convolutional self-orthogonal codes, sliding window decoding, threshold decoding
host publication
2023 12th International Symposium on Topics in Coding, ISTC 2023
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
12th International Symposium on Topics in Coding, ISTC 2023
conference location
Brest, France
conference dates
2023-09-04 - 2023-09-08
external identifiers
  • scopus:85174607191
ISBN
9798350326116
DOI
10.1109/ISTC57237.2023.10273524
language
English
LU publication?
yes
id
47b17633-5a95-48f2-bae5-65f16a8de52e
date added to LUP
2023-12-18 12:22:51
date last changed
2024-02-09 11:01:53
@inproceedings{47b17633-5a95-48f2-bae5-65f16a8de52e,
  abstract     = {{<p>In this paper, we investigate a class of braided convolutional codes (BCCs), where the component codes are convolutional self-orthogonal codes (CSOCs), called braided convolutional self-orthogonal codes. Compared to conventional BCCs, the advantages of braided CSOCs include the availability of several low-complexity decoding methods and the relative ease of extending these methods to high rates More specifically, to construct high-rate braided codes, it is necessary to use higher-rate component codes, which results in exponentially higher decoding complexity with conventional BCJR decoding, whereas the complexity of the CSOC decoding methods proposed here grows only linearly with rate. In particular, we introduce a double sliding window decoding method based on belief propagation (BP) for braided CSOCs, which exhibits good performance while maintaining low-complexity decoding for the higher rates required in many applications.</p>}},
  author       = {{Zhu, Min and Cummins, Andrew D. and Mitchell, David G.M. and Lentmaier, Michael and Costello, Daniel J.}},
  booktitle    = {{2023 12th International Symposium on Topics in Coding, ISTC 2023}},
  isbn         = {{9798350326116}},
  keywords     = {{Braided convolutional codes; convolutional self-orthogonal codes; sliding window decoding; threshold decoding}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Braided Convolutional Self-orthogonal Codes with Double Sliding Window Decoding}},
  url          = {{http://dx.doi.org/10.1109/ISTC57237.2023.10273524}},
  doi          = {{10.1109/ISTC57237.2023.10273524}},
  year         = {{2023}},
}