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Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

Research Article

Characteristics Analysis and Modeling of Satellite Mobile MIMO Channel

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  • @INPROCEEDINGS{10.1007/978-3-030-66785-6_43,
        author={Yingzhe Dou and Mingchuan Yang},
        title={Characteristics Analysis and Modeling of Satellite Mobile MIMO Channel},
        proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings},
        proceedings_a={MLICOM},
        year={2021},
        month={1},
        keywords={MIMO Land mobile satellite Channel model Probability statistical model},
        doi={10.1007/978-3-030-66785-6_43}
    }
    
  • Yingzhe Dou
    Mingchuan Yang
    Year: 2021
    Characteristics Analysis and Modeling of Satellite Mobile MIMO Channel
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-66785-6_43
Yingzhe Dou1, Mingchuan Yang1,*
  • 1: Communication Research Center, Harbin Institute of Technology, 1
*Contact email: mcyang@hit.edu.cn

Abstract

In recent years, with the rapid growth of satellite communication services, the spectral bandwidth needs to be increased urgently. In the face of the dilemma of limited orbit position and lack of spectrum resources, MIMO technology has been applied to satellite communications to improve the spectrum efficiency and channel capacity, which has become the main research direction, and the modeling of MIMO channel is an indispensable work. This paper firstly analyzes and summarizes the actual measurement work and channel characteristics of the satellite mobile MIMO channel, and on this basis, gives the concrete steps of using two-state Markov chain and taking C.Loo model as the subchannel to build the probability statistical model of satellite mobile MIMO channel. At the same time, according to the model established in this paper, the simulations are carried out in different environments, so as to study the effects of simulation parameters such as simulation environment, cross polarization discrimination and satellite elevation on the performance of satellite mobile MIMO systems.

Keywords
MIMO Land mobile satellite Channel model Probability statistical model
Published
2021-01-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-66785-6_43
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