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Characteristics Analysis and Modeling of Satellite Mobile MIMO Channel

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMachine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings
EditorsMingxiang Guan, Zhenyu Na
PublisherSpringer Science and Business Media Deutschland GmbH
Pages401-409
Number of pages9
ISBN (Print)9783030667849
DOIs
StatePublished - 2021
Event5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020 - Shenzhen, China
Duration: 26 Sep 202027 Sep 2020

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume342
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020
Country/TerritoryChina
CityShenzhen
Period26/09/2027/09/20

Keywords

  • Channel model
  • Land mobile satellite
  • MIMO
  • Probability statistical model

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