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

Research Article

Two-Phase Prototype Filter Design for FBMC Systems

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  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_12,
        author={Jiangang Wen and Jingyu Hua and Zhijiang Xu and Weidang Lu and Jiamin Li},
        title={Two-Phase Prototype Filter Design for FBMC Systems},
        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={FBMC Prototype filter Square-root Nyquist Spectral factorization},
        doi={10.1007/978-3-319-73447-7_12}
    }
    
  • Jiangang Wen
    Jingyu Hua
    Zhijiang Xu
    Weidang Lu
    Jiamin Li
    Year: 2018
    Two-Phase Prototype Filter Design for FBMC Systems
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_12
Jiangang Wen1, Jingyu Hua1,*, Zhijiang Xu1, Weidang Lu1, Jiamin Li2
  • 1: Zhejiang University of Technology
  • 2: Southeast University
*Contact email: eehjy@163.com

Abstract

FBMC has been taken as a candidate waveform for the next enhanced 5th generation (5G). To further improve its advantages over OFDM as well as to promote its application in burst transmission, a two-phase method is applied to design its prototype filter, i.e. a square-root Nyquist filter. In this method, the autocorrelation-based technique and a spectral factorization aimed at minimum stopband energy are successively exploited to acquire the final prototype filter. Through the relaxation of Nyquist condition and benefited from the nonlinear-phase, the frequency selectivity of our designed filters can be greatly improved. Furthermore, the performances of the proposed prototype filter brings a better BER in simulations, which demonstrates the effectiveness of our square-root Nyquist filter design for FBMC systems.