Advertisement

Research on transmission performance of multi-input multi-output free space optical communication system channel

  • Yan Liu
  • Hongzuo LiEmail author
Regular Paper
  • 22 Downloads

Abstract

Traditional systems are susceptible to noise, atmospheric turbulence and other factors, resulting in large system channel transmission error and outage. Therefore, a new method of analyzing transmission performance of multi-input multi-output free space optical communication system channel with an improved space diversity technology is proposed in this paper in the context of different turbulence environments. In this method, with the Gamma–Gamma distribution model, the atmospheric turbulence process is analyzed and the optical field distribution is transformed into a disturbing function based on multi-scale impact; the differential phase-shift-keyed coherent intensity modulation method is adopted to control the turbulence so that the transmitter and receiver can obtain channel state information; a multi-input multi-output free space optical communication (MIMO-FSO) system is formed by constructing a system model and a multi-input multi-output channel model, and the MIMO-FSO system channel is modulated with the improved maximal ratio combining technology to analyze the transmission performance of MIMO-FSO system channel. Experimental results show that the improved method can reduce bit error rate and outage probability of the free space optical system, which has some advantages over traditional systems.

Keywords

Optical communication Multi-input Multi-output Modulation Transmission 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China under Grant no. 60977052.

References

  1. 1.
    Cheng, D.F., Xu, X.H., Yu, N.: Research on the technology of the coherent optical communication link [J]. Laser J. 37(2), 125–127 (2016)Google Scholar
  2. 2.
    Kong, Y.X., Ke, X.Z., Yang, Y.: Impact of local oscillator power on SNR in space coherent optical communications [J]. Infrared Laser Eng. 45(2), 234–239 (2016)Google Scholar
  3. 3.
    Wu, Y.: Adaptive channel estimation study of optical communication system [J]. Laser J. 38(6), 203–206 (2017)Google Scholar
  4. 4.
    Lu, W., Miao, J.M., Wang, L.: Radio and TV fiber-to-the-home terminal research for smart home business [J]. Cable TV Technol. 12, 94–112 (2017)Google Scholar
  5. 5.
    Yang, B.H.: Research on Lognormal–Rician channel model for free space optical communication [D]. Central South University (2016)Google Scholar
  6. 6.
    Cui, L., Tang, Y., Zhu, Q.W., et al.: Analysis of channel crosstalk in multi-spectrum visible light communication system [J]. Acta Phys. Sin. 65(9), 112–119 (2016)Google Scholar
  7. 7.
    Wang, Y., Yang, S., Ma, J., et al.: Performance analysis of coherent OFDM system in free space optical communication [J]. Infrared Laser Eng. 45(7), 200–204 (2016)Google Scholar
  8. 8.
    Wang, H.Q., Wang, X., Sun, J.F., et al.: Jianfeng average capacity of wireless optical multiple input multiple output system in correlated channel [J]. Acta Opt. Sin. 65(1), 131–138 (2016)Google Scholar
  9. 9.
    Liu, Z.W., Li, Z.D., Zhou, Z.Q., et al.: Adaptive optics correction technique based on fuzzy control [J]. Acta Phys. Sin. 65(1), 131–138 (2016)Google Scholar
  10. 10.
    Zhang, J.W., Pan, X.Q.: Cognitive mesh system data transfer optimization algorithm based on joint multi-channel allocation decisions [J].Appl. Res. Comput. 33(2):567–570 (2016)Google Scholar
  11. 11.
    Zhong, K., He, N., Jiang, H.Y.: Research and implementation of data transmission in laser communication system with variable fundamental frequency [J]. Laser Infrared 46(10), 1220–1224 (2016)Google Scholar
  12. 12.
    Hu, Y.N., Yang, F., Zhao, J.H., et al.: Fire emergency mobile communication information transmission channel selection method simulation [J]. Comput. Simul. 34(10):203–207 (2017)Google Scholar
  13. 13.
    Han, L.Q., You, Y.H.: Performance of multi-input and multi-output free space optical communication under atmospheric atmospheric attenuation and atmospheric turbulence [J]. Chin. J. Lasers 7, 223–230 (2016)Google Scholar
  14. 14.
    Zhang, X., Cao, Y., Peng, X.F., et al.: Performance analysis of LT codes in MIMO-FSO system [J]. Laser J. 38(3), 61–64 (2017)Google Scholar
  15. 15.
    Wang, X., Wang, H.Q., Cao, M.H.: Channel capacity of correlated wireless optical MIMO system [J]. J. Electron. Meas. Instrum. 31(5), 663–668 (2017)Google Scholar
  16. 16.
    Ren, B., Chen, C.Y., Yang, H.M.: Survey of studies on numerical simulations of optical-wave propagation in atmospheric turbulence [J]. J. Syst. Simul. 29(8), 1631–1640 (2017)Google Scholar
  17. 17.
    Wei, H., Hu, M.B., Ai, W.H.: Simulation research on structure constant of atmospheric refractive index in microwave band [J]. J. Meteorol. Sci. 36(5), 667–673 (2016)Google Scholar
  18. 18.
    Gu, J., Guan, J.F., Li, W.L., et al.: Simulation of transmission performances of wavelength shift-based single-fiber bidirectional systems [J]. Study Opt. Commun. 5, 15–18 (2015)Google Scholar
  19. 19.
    Wang, H.Q., Wang, X., Cao, M.H.: Bit error rate of optical multiple input multiple output system in correlated channel [J]. Opt. Precis. Eng. 24(9), 2142–2148 (2016)CrossRefGoogle Scholar

Copyright information

© The Optical Society of Japan 2019

Authors and Affiliations

  1. 1.Institute of Space Optical CommunicationChangchun University of Science and TechnologyChangchunChina
  2. 2.College of EngineeringBohai UniversityJinzhouChina

Personalised recommendations