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Spatially Coupled Generalized LDPC Codes : Introduction and Overview

Costello, Daniel J. ; Mitchell, David G.M. ; Olmos, Pablo M. and Lentmaier, Michael LU (2018) 10th IEEE International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2018 2018-December.
Abstract

Generalized low-density parity-check (GLDPC) codes are a class of LDPC codes in which the standard single parity check (SPC) constraints are replaced by more general constraints, viz., constraints defined by a linear block code. These stronger constraints typically result in improved error floor performance, due to better minimum distance and trapping set properties, at a cost of some increased decoding complexity. In this paper, we summarize some recent results on spatially coupled generalized low-density parity-check (SC-GLDPC) codes. Results are compared to GLDPC block codes and the advantages and disadvantages of SC-GLDPC codes are discussed.

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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2018 IEEE 10th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2018
volume
2018-December
article number
8625327
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
10th IEEE International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2018
conference location
Hong Kong, China
conference dates
2018-12-03 - 2018-12-07
external identifiers
  • scopus:85062397321
ISBN
9781538670484
DOI
10.1109/ISTC.2018.8625327
language
English
LU publication?
yes
id
d742ee77-d364-4264-a02e-c464f305f62b
date added to LUP
2019-03-13 14:13:28
date last changed
2022-04-25 22:08:49
@inproceedings{d742ee77-d364-4264-a02e-c464f305f62b,
  abstract     = {{<p>Generalized low-density parity-check (GLDPC) codes are a class of LDPC codes in which the standard single parity check (SPC) constraints are replaced by more general constraints, viz., constraints defined by a linear block code. These stronger constraints typically result in improved error floor performance, due to better minimum distance and trapping set properties, at a cost of some increased decoding complexity. In this paper, we summarize some recent results on spatially coupled generalized low-density parity-check (SC-GLDPC) codes. Results are compared to GLDPC block codes and the advantages and disadvantages of SC-GLDPC codes are discussed.</p>}},
  author       = {{Costello, Daniel J. and Mitchell, David G.M. and Olmos, Pablo M. and Lentmaier, Michael}},
  booktitle    = {{2018 IEEE 10th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2018}},
  isbn         = {{9781538670484}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Spatially Coupled Generalized LDPC Codes : Introduction and Overview}},
  url          = {{https://lup.lub.lu.se/search/files/76057522/CMOL_SC_GLDPC_Final.pdf}},
  doi          = {{10.1109/ISTC.2018.8625327}},
  volume       = {{2018-December}},
  year         = {{2018}},
}