• Acta Optica Sinica
  • Vol. 38, Issue 11, 1101002 (2018)
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
  • show less
    DOI: 10.3788/AOS201838.1101002 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Schematic of atmospheric turbulence channel simulated by phase screens
    Fig. 1. Schematic of atmospheric turbulence channel simulated by phase screens
    Flow chart of SVM detection algorithm
    Fig. 2. 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
    Fig. 3. 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
    Fig. 4. 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
    Fig. 5. 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
    Fig. 6. 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
    Fig. 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
    Fig. 8. BER curves change with atmospheric turbulence intensity
    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
    Table 1. Relationship of atmospheric refraction index structure parameter and Rytov variance
    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
    Download Citation