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

Research Article

Analysis of Passive Intermodulation Effect on OFDM Frame Synchronization

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  • @INPROCEEDINGS{10.1007/978-3-319-73447-7_10,
        author={Yi Wang and Xiangyuan Bu and Xiaozheng Gao and Lu Tian},
        title={Analysis of Passive Intermodulation Effect on OFDM Frame Synchronization},
        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={Passive intermodulation Frame synchronization Orthogonal-frequency-division multiplexing (OFDM) Statistical properties},
        doi={10.1007/978-3-319-73447-7_10}
    }
    
  • Yi Wang
    Xiangyuan Bu
    Xiaozheng Gao
    Lu Tian
    Year: 2018
    Analysis of Passive Intermodulation Effect on OFDM Frame Synchronization
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-73447-7_10
Yi Wang1,*, Xiangyuan Bu1,*, Xiaozheng Gao1,*, Lu Tian1,*
  • 1: Beijing Institute of Technology
*Contact email: wangyi9301@gmail.com, bxy@bit.edu.cn, gxz6789@163.com, tianlu218@gmail.com

Abstract

Passive intermodulation can lead to a decrease in the performance of frame synchronization for the orthogonal-frequency-division multiplexing (OFDM) systems. In this paper, the Schmidl&Cox algorithm of frame synchronization is simplified by difference calculation to avoid overly complicated analysis. The statistical properties of time metric function in the presence of passive intermodulation interference are obtained by Gaussian distribution fitting. The closed form of false and missing detection probabilities are derived to evaluate the frame synchronization performance. Finally, simulations are conducted to demonstrate the validity of the analysis results.