A Low-Complexity Adaptive Extended Min-Sum Algorithm for Non-Binary LDPC Codes
- Title
- A Low-Complexity Adaptive Extended Min-Sum Algorithm for Non-Binary LDPC Codes
- Author
- 정기석
- Keywords
- Non-Binary Low Density Parity Check codes; Extended Min-Sum algorithm; Low-complexity decoding; Message truncation rule
- Issue Date
- 2020-08
- Publisher
- IEEE
- Citation
- 2020 5th International Conference on Computational Intelligence and Applications (ICCIA), page. 217-221
- Abstract
- The extended min-sum algorithm (EMS) for decoding non-binary low density parity check (NB-LDPC) codes reduces the decoding complexity by truncating the message vector by retaining only the most reliable symbols. However, the EMS algorithm does not consider that the noise of the received codeword is gradually reduced as the iteration count goes up. In this paper, we propose a low-complexity adaptive EMS algorithm, called threshold-based EMS (TB-EMS). The TB-EMS algorithm has a simple adaptive rule to calculate the new message vector length compared to the A-EMS. The proposed algorithm selects one of two message vector lengths. Experimental results show that the proposed algorithm reduces the decoding complexity with minimal performance degradation compared with the EMS algorithm. Further, the decoding performance of the TB-EMS is better than A-EMS.
- URI
- https://ieeexplore.ieee.org/document/9178673?arnumber=9178673&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/169857
- ISBN
- 978-1-7281-6042-9
- DOI
- 10.1109/ICCIA49625.2020.00048
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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