TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Weighted Block-by-Block Decoding Algorithm for CPM-QC-LDPC Code Using Neural Network |
| 영문제목(English Title) |
A Weighted Block-by-Block Decoding Algorithm for CPM-QC-LDPC Code Using Neural Network |
| 저자(Author) |
Zuohong Xu
Jiang Zhu
Zixuan Zhang
Qian Cheng
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| 원문수록처(Citation) |
VOL 12 NO. 08 PP. 3749 ~ 3768 (2018. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
As one of the most potential types of low-density parity-check (LDPC) codes, CPM-QC-LDPC code has considerable advantages but there still exist some limitations in practical application, for example, the existing decoding algorithm has a low convergence rate and a high decoding complexity. According to the structural property of this code, we propose a new method based on a CPM-RID decoding algorithm that decodes block-by-block with weights, which are obtained by neural network training. From the simulation results, we can conclude that our proposed method not only improves the bit error rate and frame error rate performance but also increases the convergence rate, when compared with the original CPM-RID decoding algorithm and scaled MSA algorithm.
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| 키워드(Keyword) |
CPM-QC-LDPC code
CPM-RID decoding algorithm
neural network
weights
bit error rate
frame error rate
convergence rate
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| 파일첨부 |
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