Author Affiliations
Centre for Optical and Electromagnetic Research, State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, Zhejiang 310058, Chinashow less
Fig. 1. Schematic of atmospheric turbulence channel simulated by phase screens
Fig. 2. Flow chart of SVM detection algorithm
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
Fig. 8. BER curves change with atmospheric turbulence intensity
Atmospheric refractive index structure parameter /(10-14 m-2/3) | Rytov variance |
---|
0.5 | 0.1 | 1.5 | 0.3 | 2.6 | 0.5 | 3.5 | 0.7 |
|
Table 1. Relationship of atmospheric refraction index structure parameter and Rytov variance