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International Conference on Machine Learning and Intelligent Communications

MLICOM 2020: Machine Learning and Intelligent Communications pp 401–409Cite as

Characteristics Analysis and Modeling of Satellite Mobile MIMO Channel

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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.

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References

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Authors and Affiliations

  1. Communication Research Center, Harbin Institute of Technology, 1, 50001, Harbin, China

    Yingzhe Dou & Mingchuan Yang

Authors
  1. Yingzhe Dou
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  2. Mingchuan Yang
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Corresponding author

Correspondence to Mingchuan Yang .

Editor information

Editors and Affiliations

  1. Shenzhen Institute of Information Technology, Shenzhen, China

    Mingxiang Guan

  2. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, Liaoning, China

    Zhenyu Na

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Dou, Y., Yang, M. (2021). Characteristics Analysis and Modeling of Satellite Mobile MIMO Channel. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_43

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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