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Chin. Opt. Lett.
 Home  List of Issues    Issue 11 , Vol. 14 , 2016    10.3788/COL201614.110607

Free-space optical communication using patterned modulation and bucket detection
Tianyi Mao1, Qian Chen1, Weiji He1;2;3, Yunhao Zou1, Huidong Dai1, and Guohua Gu1
1 Jiangsu Key Laboratory of Spectral Imaging &
Intelligence Sense (SIIS), [Nanjing University of Science and Technology], Nanjing 21 0094, China
2 Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, [Nanjing University of Science and Technology], Nanjing 2 10094, China
3 e-mail: hewj@mail.njust.edu.cn

Chin. Opt. Lett., 2016, 14(11): pp.110607

Topic:Fiber optics and optical communication
Keywords(OCIS Code): 060.4510  060.2605  

In this Letter, free-space optical (FSO) communication using patterned modulation and bucket detection is introduced to improve the bit error rate (BER) performance in complex and noisy environments. The scattered light is averaged in this communication structure. Second-order correlation, wavelet normalization, and compressed sensing are combined in the reconstruction algorithm. A signal with N bits is reconstructed well from much less than N measurements. Numerical simulations and experiments are performed without the narrowband optical filters used in traditional FSO communication. It can also be employed in real networks where secure communication is required. This provides the great opportunity to pave the way for real applications of FSO communication.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Posted online:2016/11/8

Get Citation: Tianyi Mao, Qian Chen, Weiji He, Yunhao Zou, Huidong Dai, and Guohua Gu, "Free-space optical communication using patterned modulation and bucket detection," Chin. Opt. Lett. 14(11), 110607(2016)

Note: This work was supported by the Seventh Six-Talent Peak Project of Jiangsu Province (No. 2014-DZXX-007), the National Natural Science Foundation of China (No. 61271332), the Fundamental Research Funds for the Central Universities (No. 30920140112012), the Innovation Fund Project for Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education (No. JYB201509), and the Fund Project for Low-Light-Level Night Vision Laboratory (No. J20130501).


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