Acta Optica Sinica, Volume. 38, Issue 11, 1101002(2018)

Detection Algorithm of Support Vector Machine for Four-Level Free-Space Laser Communication Signals

Hongwei He*, Zhihang Wu, Zhaoxin Yu, Xianglian Feng, Hexin Jiang, and Shiming Gao*
Author Affiliations
  • Centre for Optical and Electromagnetic Research, State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, Zhejiang 310058, China
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    Figures & Tables(9)
    Schematic of atmospheric turbulence channel simulated by phase screens
    Flow chart of SVM detection algorithm
    Normalized received intensity distributions when Rytov variance is (a) 0.1, (b) 0.3, (c) 0.5 and (d) 0.7, respectively
    Mean normalized intensities change with time when Rytov variance is (a) 0.1, (b) 0.3, (c) 0.5 and (d) 0.7, respectively
    Simulated time-varying signals at receiving end when Rytov variance is (a) 0.1, (b) 0.3, (c) 0.5 and (d) 0.7, respectively
    Threshold and judgment based on SVM detection algorithm for PAM-4 signals. (a) σR2=0.1; (b) σR2=0.3; (c) σR2=0.5; (d) σR2=0.7
    BER curves when Rytov variance is (a) 0.1, (b) 0.3, (c) 0.5 and (d) 0.7, respectively
    BER curves change with atmospheric turbulence intensity
    • Table 1. Relationship of atmospheric refraction index structure parameter and Rytov variance

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      Table 1. Relationship of atmospheric refraction index structure parameter and Rytov variance

      Atmospheric refractive index structure parameter Cn2/(10-14 m-2/3)Rytov variance σR2
      0.50.1
      1.50.3
      2.60.5
      3.50.7
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    Hongwei He, Zhihang Wu, Zhaoxin Yu, Xianglian Feng, Hexin Jiang, Shiming Gao. Detection Algorithm of Support Vector Machine for Four-Level Free-Space Laser Communication Signals[J]. Acta Optica Sinica, 2018, 38(11): 1101002

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Apr. 3, 2018

    Accepted: Jun. 13, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1101002

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