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Actual Radiation Patterns-Oriented Non-deterministic Optical Wireless Channel Characterization

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Biometric Recognition (CCBR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10996))

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Abstract

In optical wireless communication channel characterization, Monte Carlo-based non-deterministic modeling scheme has been widely adopted due to its simplicity and efficiency. Currently, this scheme is only applicable to characterize the optical sources with Lambertain radiation pattern. For flexibly modeling practical non-Lambertain source radiation patterns, the modified edition of above stochastic modeling scheme is systematically proposed in this paper. Numerical results prove that the modified scheme is capable of presenting various non-Lambertain sources with symmetric radiation pattern (e.g. LEDs LUXEON®Rebel from Lumileds Philips) at high accuracy while at significantly reduced computational complexity. As compared with the existing deterministic modeling scheme, the power deviation ratio of impulse response is less than 0.60% for the second order reflection while less than 13.8% for the third order reflection

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Acknowledgments

This work was supported in part by National Natural Science Foundation of China (Grants No. 61561048).

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Authors and Affiliations

  1. College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China

    Jupeng Ding, Ruiyue Xie, Huicheng Lai & Chi Zhang

  2. Green Communication Research Center, China Mobile Research Institute, Beijing, 100053, China

    Chih-Lin I

Authors
  1. Jupeng Ding
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  2. Chih-Lin I
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  3. Ruiyue Xie
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  4. Huicheng Lai
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  5. Chi Zhang
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Corresponding author

Correspondence to Jupeng Ding .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jie Zhou

  2. Beihang University, Beijing, China

    Yunhong Wang

  3. Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Xinjiang University, Urumqi, China

    Zhenhong Jia

  5. Tsinghua University, Beijing, China

    Jianjiang Feng

  6. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  7. Xinjiang University, Urumqi, China

    Kurban Ubul

  8. Tsinghua University, Shenzhen, China

    Zhenhua Guo

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Ding, J., I, CL., Xie, R., Lai, H., Zhang, C. (2018). Actual Radiation Patterns-Oriented Non-deterministic Optical Wireless Channel Characterization. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_55

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  • DOI: https://doi.org/10.1007/978-3-319-97909-0_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97908-3

  • Online ISBN: 978-3-319-97909-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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