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Volume 43 Issue 11
Nov.  2021
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Yang WANG, Jian CUI, Xi LIAO, Yanzhi ZENG, Jie ZHANG. Research on Optical Wireless Orbital Angular Momentum Multiplexing System Based on Signal Detection[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3156-3165. doi: 10.11999/JEIT200955
Citation: Yang WANG, Jian CUI, Xi LIAO, Yanzhi ZENG, Jie ZHANG. Research on Optical Wireless Orbital Angular Momentum Multiplexing System Based on Signal Detection[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3156-3165. doi: 10.11999/JEIT200955

Research on Optical Wireless Orbital Angular Momentum Multiplexing System Based on Signal Detection

doi: 10.11999/JEIT200955
Funds:  The National Key R&D Program of China (2017YFE0118900), The National Natural Science Foundation of China (61801062), The Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0288), China Postdoctoral Science Foundation (2019M653826XB)
  • Received Date: 2020-11-06
  • Rev Recd Date: 2021-04-04
  • Available Online: 2021-04-25
  • Publish Date: 2021-11-23
  • The wireless communication technology based on Orbital Angular Momentum (OAM) can greatly improve the performance of the communication system under ideal transmission conditions. However, in the actual environment, atmospheric turbulence and aperture mismatch can cause crosstalk between OAM modes and increase the Bit Error Rate (BER). In order to reduce the BER of the optical wireless OAM multiplexing system in a complex environment, an OAM multiplexing communication system based on the Vertical Bell LAyered Space Time (VBLAST-OAM) code criterion under the scenario of atmospheric turbulence and the aperture mismatch of the transceiver is established firstly. Then, the system performance are analyzed based on the Ordered Successive Interference Cancellation (OSIC), the Markov Random Field Belief Propagation (MRF-BP) algorithm and the algorithm OAM-OSIC. Simulation results show that the algorithm proposed in this paper can reduce the BER of OAM systems effectively in complex environment and the MRF-BP has the best performance. Although OAM-OSIC is a suboptimal algorithm, it has a great advantage in the running cost.
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