Skip to main content
SpringerLink
Log in
Book cover

International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 544–552Cite as

Research on Modeling of Maritime Wireless Communication Based on Bayesian Linear Regression

  • Conference paper
  • First Online:

  • 2249 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

Maritime wireless communication is in the stage of continuous development. Medium and short wave communication has always been the main method of maritime communications. Realizing rapid, efficient, and reliable signal transmission is the urgent need for the development of current situation. In this paper, aiming at MF, HF, or VHF radio waves emitted by land, Bayesian linear regression model is used to solve the reflection problem of calm sea surface, and then EM (expectation maximization) algorithm is further used to solve the complex Bayesian model to solve the reflection problem of rough sea surface. Furthermore, the advantages of the Bayesian linear regression model over other models, such as the Longley-Rice model, are obtained.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Hu Z, Zeng F, He J, Zhang X. Development of HF adaptive communication and construction of wireless specialty in our hospital. J Chongqing Inst Commun. 2004.

    Google Scholar 

  2. Ren J. How to improve the efficiency of shortwave frequency resources in maritime communication. New Obs. 2015.

    Google Scholar 

  3. Shao X, Chu X, Wang J. Application of two-dimensional atmospheric model in maritime radio wave propagation. J China Ocean Univ. 2011;09:109–13.

    Google Scholar 

  4. Yi Q. Study on electromagnetic wave propagation model in sea area. Hainan University, 2015.

    Google Scholar 

  5. Zhao X. Study on propagation characteristics and application of electromagnetic wave in atmospheric waveguide environment. Xidian University, 2008.

    Google Scholar 

  6. Liu Y, Zhou X, Jin H. Analysis and research on radio wave propagation prediction model. Nav Electron Eng. 2011;07:84–6.

    Google Scholar 

  7. Shao L. Research on AIS sea wave propagation model. Dalian Maritime University, 2014.

    Google Scholar 

  8. Wu Y, Wang C, Xu C. Research on radio wave propagation path loss model in wireless communication system. Foreign Electron Meas Technol, 2009; (08).

    Google Scholar 

  9. Bishop C. Pattern recognition and machine learning. Berlin: Springer; 2007.

    MATH  Google Scholar 

Download references

Acknowledgments

This research was supported by the Fundamental Research Funds for the Central Universities (Grant no. 3132016317).

Author information

Authors and Affiliations

  1. Information Science and Technology School, Dalian Maritime University, Dalian, 116000, China

    Yanshuang Han & Sheng Bi

Authors
  1. Yanshuang Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sheng Bi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yanshuang Han .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Han, Y., Bi, S. (2020). Research on Modeling of Maritime Wireless Communication Based on Bayesian Linear Regression. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_66

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6504-1_66

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation