Volume 46 Issue 12
Dec.  2020
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SUN Haizheng, SHANG Tao, LIU Jianwei, et al. Data reconciliation scheme for space-ground quantum key distribution network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(12): 2311-2319. doi: 10.13700/j.bh.1001-5965.2019.0599(in Chinese)
Citation: SUN Haizheng, SHANG Tao, LIU Jianwei, et al. Data reconciliation scheme for space-ground quantum key distribution network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(12): 2311-2319. doi: 10.13700/j.bh.1001-5965.2019.0599(in Chinese)

Data reconciliation scheme for space-ground quantum key distribution network

doi: 10.13700/j.bh.1001-5965.2019.0599
Funds:

Aeronautical Science Foundation of China (2018ZC51016) 2018ZC51016

National Natural Science Foundation of China 61571024

National Natural Science Foundation of China 61971021

National Key R & D Program of China 2016YFC1000307

More Information
  • Corresponding author: SHANG Tao, E-mail: shangtao@buaa.edu.cn
  • Received Date: 25 Nov 2019
  • Accepted Date: 02 Feb 2020
  • Publish Date: 20 Dec 2020
  • In the space-ground quantum key distribution network, the hardware device limitation of the air platform makes the data transmission speed and processing capability of the post-processing stage weakened. Aimed at the characteristics of free space and airborne platform, this paper proposes a data reconciliation scheme suitable for the space-ground quantum key distribution network. Firstly, quantum error correction techniques are used to reduce the bit error rate of the original key. Then, a new method is designed to prepare random sequences in Low Density Parity-Check (LDPC) algorithm. Finally, considering the performance of the LDPC decoding algorithm and the hardware implementation complexity of the algorithm, Min-Sum decoding algorithm in the soft decision is selected. The simulation analysis shows that the error rate of the original key after quantum error correction processing is significantly reduced, and the error rate is reduced from 29.5% to 4.4%. Using a new method to generate a random sequence, the efficiency is improved under the premise of ensuring the randomness of the sequence. The time to generate a random replacement sequence with a length of 10 000 is about 0.019 s. The Min-Sum decoding algorithms in the LDPC decoding algorithm are moderate in performance and simple in hardware implementation.

     

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