电子科技 ›› 2022, Vol. 35 ›› Issue (10): 1-7.doi: 10.16180/j.cnki.issn1007-7820.2022.10.001

• •    下一篇

基于5G通信的空间站舱内电磁环境分析

左文成,赵子文,徐至江,谭康伯   

  1. 西安电子科技大学 电子工程学院,陕西 西安 710071
  • 收稿日期:2021-04-01 出版日期:2022-10-15 发布日期:2022-10-25
  • 作者简介:左文成(1996-),男,硕士研究生。研究方向:电磁兼容、天线与微波工程。|谭康伯(1981-),男,博士,副教授。研究方向:电磁兼容、电磁环境效应与防护、天线与微波工程。
  • 基金资助:
    国家自然科学基金(61086338)

Analysis and Research of Electromagnetic Environment in Space Station Cabin Based on 5G Communication

ZUO Wencheng,ZHAO Ziwen,XU Zhijiang,TAN Kangbo   

  1. School of Electronic Engineering,Xidian University,Xi'an 710071,China
  • Received:2021-04-01 Online:2022-10-15 Published:2022-10-25
  • Supported by:
    National Natural Science Foundation of China(61086338)

摘要:

针对5G通信在空间站舱内复杂的多径效应问题,文中基于等效空间站模型提出了分析舱内电磁环境和天线耦合度的方法。通过提取空间站的主体特征获得舱内模型,以典型的5G通信设备作为收发系统探测舱内的电磁分布情况,分区域研究了摆放舱内通信设备的可选方案,并研究了多天线工作时收发天线在工作频段上的耦合度问题。结果表明,将通信发射设备放置于3个舱室的连接区域,可在空间站内获得最佳电磁覆盖,两天线垂直放置时的耦合度最小。

关键词: 空间站, 舱内通信, 电磁环境, 5G, 无线宽带, 耦合度, 特征提取

Abstract:

In view of the complex multipath effect of 5G communication in the space station cabin, this study proposes a method to analyze the electromagnetic environment and antenna coupling degree in the space station based on the equivalent space station model. By extracting the main characteristics of the space station, the cabin model is obtained. The typical 5G communication equipment is used as the transceiver system to detect the electromagnetic distribution in the cabin. The alternative scheme of reasonably arranging the communication equipment in the cabin is studied in different regions, and the coupling degree of the transceiver antenna in the working frequency band is studied. The results show that the communication transmitting equipment placed in the connecting area of three cabins has the best electromagnetic coverage in the space station, and the coupling degree can be obtained when the two antennas are placed vertically.

Key words: the space station, cabin communication, electromagnetic environment, 5G, wireless broadband, coupling, feature extraction

中图分类号: 

  • TN927+.2
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