• Laser & Optoelectronics Progress
  • Vol. 59, Issue 11, 1106002 (2022)
Yu Liu, Yaohui Hao*, Zhou Huang, Chan Wang, and Lin Bai
Author Affiliations
  • School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, Shaanxi , China
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    DOI: 10.3788/LOP202259.1106002 Cite this Article Set citation alerts
    Yu Liu, Yaohui Hao, Zhou Huang, Chan Wang, Lin Bai. Min-Sum Decoding Algorithm that Introduced Shuffled Strategy and Improved Variable Node Update[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1106002 Copy Citation Text show less

    Abstract

    Low-density parity-check code is a kind of linear block code, which has received much attention in recent years. At present, the min-sum (MS) algorithm, which is widely used, has a lot of decoding loss, and it belongs to flood scheduling, so the decoding convergence speed is slow. In this paper, the MS decoding algorithm that introduced shuffled strategy and improved variable node update (shuffled-VNU-MS) is proposed. When the improved algorithm updates check node information of current column in this iteration, it can use the latest variable node information of the previous sequence, and the variable node information is averaged by the weighted factor. The simulation results show that when the code length is 256, the code rate is 0.5, and the bit error rate is 10-5, shuffled-VNU-MS algorithm increases the coding gain by about 0.92 dB compared with the MS algorithm. When the signal to noise ratio is 0, compared with the MS algorithm, shuffled-VNU-MS algorithm can improve the decoding convergence speed by about 52%.
    Yu Liu, Yaohui Hao, Zhou Huang, Chan Wang, Lin Bai. Min-Sum Decoding Algorithm that Introduced Shuffled Strategy and Improved Variable Node Update[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1106002
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