7th International Conference on Communications and Networking in China

Research Article

Study on AR4JA Code in Deep Space Fading Channel

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417466,
        author={Hui Li and Jianan Gao and Mingchuan Yang and Gu Lv and Ming Li and Qing Guo},
        title={Study on AR4JA Code in Deep Space Fading Channel},
        proceedings={7th International Conference on Communications and Networking in China},
        keywords={deep space communication; ar4ja code; rician fading channel; min-sum decoding algorithm},
  • Hui Li
    Jianan Gao
    Mingchuan Yang
    Gu Lv
    Ming Li
    Qing Guo
    Year: 2012
    Study on AR4JA Code in Deep Space Fading Channel
    DOI: 10.1109/ChinaCom.2012.6417466
Hui Li1, Jianan Gao2, Mingchuan Yang1,*, Gu Lv1, Ming Li1, Qing Guo1
  • 1: Communication Research Center,Harbin Institute of Technology
  • 2: Dept. of Environmental Engineering, Jiangsu university of science and technology
*Contact email: mcyang@hit.edu.cn


Because of good systematicness of its parity check matrix, linear relationship between the minimum distance and code length, and inheritance of punching property of ARA(accumulate repeat accumulate) code, AR4JA (accumulate-repeat-4-jagged-accumulate) code is thought to be the most suitable error correction channel code for deep space reliable communication in the future. Given that the accurate channel model of deep communication environment is lacked, in the paper, the absorption, reflection or other uncertain effects of different kinds of particles in aerospace were described with Rician fading model. Then the performance of AR4JA code in deep space Rician fading channel with BP algorithm and Min-Sum algorithm were studied in the paper. Simulation results show that in Rician fading channel, compared with BP algorithm, Min-Sum algorithm declines decoding complexity with few gain loss, which is beneficial to realize miniaturization of deep space communication receiver. Through further analysis, relationship of iteration times of Min-Sum algorithm and SNR is also given for the better use of decoding AR4JA codes by Min-Sum algorithm.