A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes
Summary :
A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.11 pp.1644-1648
- Publication Date
- 2021/11/01
- Publicized
- 2021/05/10
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2021EAL2009
- Type of Manuscript
- LETTER
- Category
- Coding Theory
Authors
Zhanzhan ZHAO
Xidian University
Xiaopeng JIAO
Xidian University
Jianjun MU
Xidian University
Qingqing LI
Xidian University
Keyword
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Zhanzhan ZHAO, Xiaopeng JIAO, Jianjun MU, Qingqing LI, "A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 11, pp. 1644-1648, November 2021, doi: 10.1587/transfun.2021EAL2009.
Abstract: A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2009/_p
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@ARTICLE{e104-a_11_1644,
author={Zhanzhan ZHAO, Xiaopeng JIAO, Jianjun MU, Qingqing LI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes},
year={2021},
volume={E104-A},
number={11},
pages={1644-1648},
abstract={A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.},
keywords={},
doi={10.1587/transfun.2021EAL2009},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - A Stopping Criterion for Symbol Flipping Decoding of Non-Binary LDPC Codes
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1644
EP - 1648
AU - Zhanzhan ZHAO
AU - Xiaopeng JIAO
AU - Jianjun MU
AU - Qingqing LI
PY - 2021
DO - 10.1587/transfun.2021EAL2009
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2021
AB - A properly designed stopping criterion for iterative decoding algorithms can save a number of iterations and lead to a considerable reduction of system latency. The symbol flipping decoding algorithms based on prediction (SFDP) have been proposed recently for efficient decoding of non-binary low-density parity-check (LDPC) codes. To detect the decoding frames with slow convergence or even non-convergence, we track the number of oscillations on the value of objective function during the iterations. Based on this tracking number, we design a simple stopping criterion for the SFDP algorithms. Simulation results show that the proposed stopping criterion can significantly reduce the number of iterations at low signal-to-noise ratio regions with slight error performance degradation.
ER -
English
