New Min‐sum LDPC Decoding Algorithm Using SNR‐Considered Adaptive Scaling Factors |
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| Authors: | Yongmin Jung Yunho Jung Seongjoo Lee Jaeseok Kim |
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| Affiliation: | 1. Yongmin Jung (corresponding author, jymsoc@yonsei.ac.kr) and Jaeseok Kim (jaekim@yonsei.ac.kr) are with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Rep. of Korea;2. Yunho Jung (yjung@kau.ac.kr) is with the School of Electronics, Telecommunication, and Computer Engineering, Korea Aerospace University, Goyang, Rep. of Korea;3. Seongjoo Lee (seongjoo@sejong.ac.kr) is with the Department of Information and Communication Engineering, Sejong Un iversity, Seoul, Rep. of Korea |
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| Abstract: | This paper proposes a new min‐sum algorithm for low‐density parity‐check decoding. In this paper, we first define the negative and positive effects of the received signal‐to‐noise ratio (SNR) in the min‐sum decoding algorithm. To improve the performance of error correction by considering the negative and positive effects of the received SNR, the proposed algorithm applies adaptive scaling factors not only to extrinsic information but also to a received log‐likelihood ratio. We also propose a combined variable and check node architecture to realize the proposed algorithm with low complexity. The simulation results show that the proposed algorithm achieves up to 0.4 dB coding gain with low complexity compared to existing min‐sum‐based algorithms. |
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| Keywords: | Adaptive scaling factors LDPC decoding combined variable and check node architecture |
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