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Analysis of Passive Intermodulation Effect on OFDM Frame Synchronization

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Machine Learning and Intelligent Communications (MLICOM 2017)

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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.

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Author information

Authors and Affiliations

  1. School of Information Science and Electronics, Beijing Institute of Technology, No. 5 of South Zhong-guan-cun Avenue, Beijing, 100081, China

    Yi Wang, Xiangyuan Bu, Xiaozheng Gao & Lu Tian

Authors
  1. Yi Wang
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  2. Xiangyuan Bu
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  3. Xiaozheng Gao
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  4. Lu Tian
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Corresponding author

Correspondence to Xiangyuan Bu .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, Y., Bu, X., Gao, X., Tian, L. (2018). Analysis of Passive Intermodulation Effect on OFDM Frame Synchronization. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-73447-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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