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Mars Exploration Oriented Design and Simulation of Relay Communication

  • Yingzhe Dou
  • , Xiaofeng Liu
  • , Mingchuan Yang*
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

In the deep space communication, traditional point-to-point communication system would no longer meet the requirements of long-distance information transmission and Mars exploration will mainly use the way of relay communication to transmit scientific exploratory data. On the basis of analyzing link visibility and link distance of on-orbit relay satellite, this paper proposes a new way of relay communication which can provide longer visible time and the capacity to cover Mars probe uniformly. The link visibility and link distance of the two relay communication way are simulated by STK, and the link performance of through link and the two relay way is simulated. The simulation results show that the relay constellation scheme which cover Mars probe uniformly reach higher performance in the link visibility and link coverage. Otherwise, the SNR of relay link can get 3 dB performance improvement. Compared with through link, relay constellation scheme that cover Mars probe uniformly can link performance based on obviously improving link visibility, which can be better applied to future Mars exploration.

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
Pages389-394
Number of pages6
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

  • Deep communication
  • Link performance
  • Mars exploration
  • Relay constellation

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