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

Research Article

Design and Implementation of Multi-channel Burst Frame Detector

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  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_64,
        author={Bing Zhao},
        title={Design and Implementation of Multi-channel Burst Frame Detector},
        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={Frame detection Barrel shift register bank},
        doi={10.1007/978-3-319-73447-7_64}
    }
    
  • Bing Zhao
    Year: 2018
    Design and Implementation of Multi-channel Burst Frame Detector
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_64
Bing Zhao1,*
  • 1: Beijing Institute of Technology
*Contact email: zhaobing@bit.edu.cn

Abstract

In order to realize the frame detection of signals which have different unique word (UW) lengths in multi-channel receiver, multiple UWs correlation detection algorithm is proposed. The algorithm judges whether the decision variable is greater than the threshold according to the UW length, from large to small, to determine whether a valid header is presented. Monte Carlo simulation is used to analyze the feasibility of the algorithm. In addition, a barrel shift register bank structure is adopted in hardware implementation, which can reuse multipliers to calculate the square magnitude of the correlation value and the energy of differential signal while traversing UWs. Simulations show that the proposed algorithm improves the detection performance and results in an easy-to-implement and resources saving structure.