Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes
(2021) International Symposium on Information Theory and Its Applications (ISITA 2020) p.175-179- Abstract
- In this paper, we introduce two new methods of mit- igating decoder error propagation for low-latency sliding window decoding (SWD) of spatially coupled low-density parity-check (SC- LDPC) codes. Building on the recently introduced idea of check node (CN) doping of regular SC-LDPC codes, here we employ variable node (VN) doping to fix (set to a known value) a subset of variable nodes in the coupling chain. Both of these doping methods have the effect of allowing SWD to recover from error propagation, at a cost of a slight rate loss. Experimental results show that, similar to CN doping, VN doping improves performance by up to two orders of magnitude compared to un-doped SC-LDPC codes in the typical signal-to-noise ratio operating range.... (More)
- In this paper, we introduce two new methods of mit- igating decoder error propagation for low-latency sliding window decoding (SWD) of spatially coupled low-density parity-check (SC- LDPC) codes. Building on the recently introduced idea of check node (CN) doping of regular SC-LDPC codes, here we employ variable node (VN) doping to fix (set to a known value) a subset of variable nodes in the coupling chain. Both of these doping methods have the effect of allowing SWD to recover from error propagation, at a cost of a slight rate loss. Experimental results show that, similar to CN doping, VN doping improves performance by up to two orders of magnitude compared to un-doped SC-LDPC codes in the typical signal-to-noise ratio operating range. Further, compared to CN doping, VN doping has the advantage of not requiring any changes to the decoding process. In addition, a log- likelihood-ratio based window extension algorithm is proposed to reduce the effect of error propagation. Using this approach, we show that decoding latency can be reduced by up to a significant fraction without suffering any loss in performance. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/201dd1c8-6ab7-4e7e-bba1-36a2d3872ea7
- author
- Zhu, Min ; Mitchell, David G. M. ; Lentmaier, Michael LU and Costello, Jr., Daniel J.
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- International Symposium on Information Theory and Its Applications, ISITA 2020
- pages
- 175 - 179
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- International Symposium on Information Theory and Its Applications (ISITA 2020)
- conference location
- Kapolei, Hawaii, United States
- conference dates
- 2020-10-24 - 2020-10-27
- ISBN
- 978-4-88552-330-4
- 978-1-7281-2855-9
- language
- English
- LU publication?
- yes
- id
- 201dd1c8-6ab7-4e7e-bba1-36a2d3872ea7
- alternative location
- https://ieeexplore.ieee.org/document/9366183
- date added to LUP
- 2020-07-30 17:47:11
- date last changed
- 2021-03-17 12:42:38
@inproceedings{201dd1c8-6ab7-4e7e-bba1-36a2d3872ea7, abstract = {{In this paper, we introduce two new methods of mit- igating decoder error propagation for low-latency sliding window decoding (SWD) of spatially coupled low-density parity-check (SC- LDPC) codes. Building on the recently introduced idea of check node (CN) doping of regular SC-LDPC codes, here we employ variable node (VN) doping to fix (set to a known value) a subset of variable nodes in the coupling chain. Both of these doping methods have the effect of allowing SWD to recover from error propagation, at a cost of a slight rate loss. Experimental results show that, similar to CN doping, VN doping improves performance by up to two orders of magnitude compared to un-doped SC-LDPC codes in the typical signal-to-noise ratio operating range. Further, compared to CN doping, VN doping has the advantage of not requiring any changes to the decoding process. In addition, a log- likelihood-ratio based window extension algorithm is proposed to reduce the effect of error propagation. Using this approach, we show that decoding latency can be reduced by up to a significant fraction without suffering any loss in performance.}}, author = {{Zhu, Min and Mitchell, David G. M. and Lentmaier, Michael and Costello, Jr., Daniel J.}}, booktitle = {{International Symposium on Information Theory and Its Applications, ISITA 2020}}, isbn = {{978-4-88552-330-4}}, language = {{eng}}, pages = {{175--179}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Decoder Error Propagation Mitigation for Spatially Coupled LDPC Codes}}, url = {{https://ieeexplore.ieee.org/document/9366183}}, year = {{2021}}, }