New min-sum LDPC decoding algorithm using SNR-considered adaptive scaling factors

Yongmin Jung, Yunho Jung, Seongjoo Lee, Jaeseok Kim

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper proposes a new min-sum algorithm for lowdensity 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.

Original languageEnglish
Pages (from-to)591-598
Number of pages8
JournalETRI Journal
Volume36
Issue number4
DOIs
Publication statusPublished - 2014 Aug

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Decoding
Signal to noise ratio
Error correction
Adaptive algorithms

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Jung, Yongmin ; Jung, Yunho ; Lee, Seongjoo ; Kim, Jaeseok. / New min-sum LDPC decoding algorithm using SNR-considered adaptive scaling factors. In: ETRI Journal. 2014 ; Vol. 36, No. 4. pp. 591-598.
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New min-sum LDPC decoding algorithm using SNR-considered adaptive scaling factors. / Jung, Yongmin; Jung, Yunho; Lee, Seongjoo; Kim, Jaeseok.

In: ETRI Journal, Vol. 36, No. 4, 08.2014, p. 591-598.

Research output: Contribution to journalArticle

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