Advertisement

A Study of Transmission Characteristic on OFDM Signals Over Random and Time-Varying Meta-surface of the Ocean

  • Yu-Han Dai
  • Hui LiEmail author
  • Yu-Cong Duan
  • Yan-Jun Liang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

With the promotion of “the Belt and Road” and twenty-first-century “Maritime Silk Road” and the establishment of an information network in Hainan Province, the construction of network covering Southern China Sea is particularly important, which should combine with cable, wireless and satellite transmissions. The complexity of the impact of the marine environment on radio wave propagation and the particularity of communication between vessels are important factors to be considered when designing marine radio communication systems. This paper studies the models of sea channel for sea surface diffuse reflection. In this model, the performance of OFDM transmission was analyzed.

Keywords

Marine communication OFDM Diffuse reflection Channel modeling 

Notes

Acknowledgements

This article is supported by the National Natural Science Foundation of China (No. 61661018), the Zhejiang Provincial Natural Science Foundation of China (Grant No. LY15F010003), the International Scientific and Technological Cooperation Project (No. 2015DFR10510) of National Science and Technology Ministry and Hainan Provincial Key R. & D. Projects of China (No. ZDYF2016010 and ZDYF2018012). Hui Li is the corresponding author of this article.

References

  1. 1.
    Zhen HL. Design and simulation of OFDM communication system. Northwestern Polytechnical University; 2003.Google Scholar
  2. 2.
    Reddy SB, Yucek T, Arslan H. An efficient blind modulation detection algorithm for adaptive OFDM systems. In: IEEE vehicular technology conference, vol. 1; 2003. p. 1895–9.Google Scholar
  3. 3.
    Yucek T, Arslan H. A novel sub-optimum maximum-likelihood modulation classification algorithm for adaptive OFDM systems. In: Wireless communications and networking conference, vol. 3; 2004. p. 739–44.Google Scholar
  4. 4.
    Wang B, Ge LD. A novel algorithm for identification of OFDM Signal. Wireless Commun Networking Mobile Comput. 2005;1:261–4.Google Scholar
  5. 5.
    Cao P, Peng H, Dong YK, Wang B. An OFDM blind detection and parameter estimation algorithm based on cyclic prefix. J Univ Inform Eng. 2010;11(2):196–200.Google Scholar
  6. 6.
    Yuan ZL. Research on OFDM signal detection and parameter estimation in Rayleigh fading channel. Southwest Jiao Tong University; 2011.Google Scholar
  7. 7.
    Liu QP, Dong JT. Application of OFDM technology in 4G mobile communication system. Electronic Test. 2014;05:102–4.Google Scholar
  8. 8.
    Liu GS. Application of 4G communication network based on OFDM Technology. Netw Security Technol Appl. 2016;07:85–7.Google Scholar
  9. 9.
    Arraño HF, Azurdia-Meza CA. OFDM: today and in the future of next generation wireless communications. In: 35th IEEE convencion de Estudiantes de Centroamerica y Panama; 2016. p. 12–6.Google Scholar
  10. 10.
    Koffman I, Roman V. Broadband wireless access solutions based on OFDM access in IEEE 802.16. IEEE Commun Mag. 2013;40(4):96–103.CrossRefGoogle Scholar
  11. 11.
    Dan LL, Xiao Y, Lei X. Signal optimization design in OFDM communication system. National Defense Industry Press; 2015.Google Scholar
  12. 12.
    Kao YA. The influence of residual timing errors on channel estimation in OFDM system. In: International conference on computer, electronics and communication engineering; 2017:5–6.Google Scholar
  13. 13.
    Zhu GN. Research on future air mobile communication air interface and OFDM Technology. Dalian Maritime University; 2012.Google Scholar
  14. 14.
    Wang J. Application and analysis of OFDM technology in maritime wireless communication system. Wirel Commun Technol. 2011;20(02):36–9.Google Scholar
  15. 15.
    Zhao HL, Tong LL. Transmission characteristics of microwave channel at sea. J Harbin Univ Sci Technol. 2006;11(2):16–20.Google Scholar
  16. 16.
    Wang X. OFDM signal detection and modulation recognition. University of Science Technology China; 2009.Google Scholar
  17. 17.
    Huang F. Research on characteristics of maritime wireless radio propagation and channel modeling. Hainan University; 2015.Google Scholar
  18. 18.
    Liao XF. The study of maritime wireless transmission based on SC-FDE. Hainan University; 2014.Google Scholar
  19. 19.
    Meng ZQ. Research on transmission rate of large scale MIMO system under Rician channel. Dalian Maritime University; 2017.Google Scholar
  20. 20.
    Heiskala J, Terry J. OFDM wireless local area networks. Electronic Industry Press; 2003.Google Scholar
  21. 21.
    Wu K. Simulation research and implementation of wireless fading channel simulation. University of Electronic Science and Technology; 2014.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yu-Han Dai
    • 1
  • Hui Li
    • 1
    • 2
    Email author
  • Yu-Cong Duan
    • 1
  • Yan-Jun Liang
    • 1
  1. 1.School of Information Science and Technology, Hainan UniversityHaikouChina
  2. 2.School of Aeronautics and Astronautics, Zhejiang UniversityHangzhouChina

Personalised recommendations