Acta Optica Sinica, Volume. 38, Issue 11, 1101002(2018)
Detection Algorithm of Support Vector Machine for Four-Level Free-Space Laser Communication Signals
Fig. 3. Normalized received intensity distributions 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
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
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
Fig. 7. BER curves when Rytov variance is (a) 0.1, (b) 0.3, (c) 0.5 and (d) 0.7, respectively
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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
Category: Atmospheric Optics and Oceanic Optics
Received: Apr. 3, 2018
Accepted: Jun. 13, 2018
Published Online: May. 9, 2019
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