Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II

Research Article

A Fine Carrier Phase Recovery Method for 32APSK

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  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_13,
        author={Yulei Nie and Zijian Zhang and Peipei Liu},
        title={A Fine Carrier Phase Recovery Method for 32APSK},
        proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II},
        proceedings_a={MLICOM},
        year={2018},
        month={2},
        keywords={Carrier recovery 32APSK Constellation classification PLL},
        doi={10.1007/978-3-319-73447-7_13}
    }
    
  • Yulei Nie
    Zijian Zhang
    Peipei Liu
    Year: 2018
    A Fine Carrier Phase Recovery Method for 32APSK
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_13
Yulei Nie1,*, Zijian Zhang1,*, Peipei Liu1,*
  • 1: Beijing Institute of Technology
*Contact email: nieyulei@bit.edu.cn, 2120150844@bit.edu.cn, 546641721@qq.com

Abstract

When 32-ary amplitude phase shift keying (32APSK) modulation is used in the communication system, carrier recovery is one of the most important technology. The decision-directed (DD) phase locked loop (PLL) is widely used for carrier recovery. Based on the decision-directed (DD) phase locked loop (PLL) algorithm, the paper proposes a new fine carrier phase recovery method, which is based on the constellation classification and different nonlinear operation. Simulation results show that the performance of the proposed method is much better than the traditional one.