Research on Modeling of Maritime Wireless Communication Based on Bayesian Linear Regression
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.
KeywordsMaritime wireless communication Bayesian linear regression EM algorithm
This research was supported by the Fundamental Research Funds for the Central Universities (Grant no. 3132016317).
- 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