To reduce the atmospheric turbulence-induced power loss, an Alex Net-based convolutional neural network(CNN) for wave-front aberration compensation is experimentally investigated for free-space optical(FSO) communicat...To reduce the atmospheric turbulence-induced power loss, an Alex Net-based convolutional neural network(CNN) for wave-front aberration compensation is experimentally investigated for free-space optical(FSO) communication systems with standard single mode fiber-pigtailed photodiodes. The wavefront aberration is statistically constructed to mimic the received light beams with the Zernike mode-based theory for the Kolmogorov turbulence. By analyzing impacts of CNN structures, quantization resolution/noise, and mode count on the power penalty, the Alex Net-based CNN with 8 bit resolution is identified for experimental study. Experimental results indicate that the average power penalty decreases to 1.8 d B from 12.4 d B in the strong turbulence.展开更多
We extend the transmission range of non-line-of-sight ultraviolet communication to 500 m in a real-time system experiment using a 200 mW solid-state 266 nm laser,where the data rate can reach 400 kbps at a frame error...We extend the transmission range of non-line-of-sight ultraviolet communication to 500 m in a real-time system experiment using a 200 mW solid-state 266 nm laser,where the data rate can reach 400 kbps at a frame error rate lower than 10-5 in the real-time system test.The results can beat the best record so far,in terms of both the data rate and transmission distance.展开更多
基金This work was supported by the National Natural Science Foundation of China(Nos.61971394 and 61631018)the Key Research Program of Frontier Sciences of CAS(No.QYZDYSSW-JSC003)the Fundamental Research Funds for the Central Universities(No.WK3500000006).
文摘To reduce the atmospheric turbulence-induced power loss, an Alex Net-based convolutional neural network(CNN) for wave-front aberration compensation is experimentally investigated for free-space optical(FSO) communication systems with standard single mode fiber-pigtailed photodiodes. The wavefront aberration is statistically constructed to mimic the received light beams with the Zernike mode-based theory for the Kolmogorov turbulence. By analyzing impacts of CNN structures, quantization resolution/noise, and mode count on the power penalty, the Alex Net-based CNN with 8 bit resolution is identified for experimental study. Experimental results indicate that the average power penalty decreases to 1.8 d B from 12.4 d B in the strong turbulence.
基金supported by the National Key Basic Research Program of China(No.2013CB329201)the Key Program of National Natural Science Foundation of China(No.61631018)+4 种基金the National Natural Science Foundation of China(No.61501420)the Key Research Program of Frontier Sciences of CAS(No.QYZDY-SSW-JSC003)the Key Project in Science and Technology of Guangdong Province(No.2014B010119001)the Shenzhen PeacockPlan(No.1108170036003286)the Fundamental Research Funds for the Central Universities
文摘We extend the transmission range of non-line-of-sight ultraviolet communication to 500 m in a real-time system experiment using a 200 mW solid-state 266 nm laser,where the data rate can reach 400 kbps at a frame error rate lower than 10-5 in the real-time system test.The results can beat the best record so far,in terms of both the data rate and transmission distance.
