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Low-Latitude Ionospheric Scintillation Signal Simulation, Characterization, and Detection on GPS Signals

机译:GPS信号的低纬度电离层闪烁信号模拟,表征和检测

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摘要

Severe signal fluctuations during ionospheric scintillation poses a threat to GNSS signal tracking and degrades position, navigation, and timing solution accuracy, especially in low-latitude regions. To understand the behavior of ionospheric scintillation better, this dissertation research presents several methods regarding scintillation signal simulation, signal characterization and signal detection. The signal simulation is based on the two-dimensional two-component power-law phase screen theory, which is capable of simulating multi-frequency GPS scintillation signals for both stationary and dynamic platforms. The signal characterization is conducted in both time and spatial frequency domains, which lays a foundation for the scintillation signal simulation and detection, and verifies the simulation effectiveness. The scintillation signal detection system is implemented via the support vector machine framework, which can capture amplitude and phase scintillation events, enable future scintillation signal classification and processing, and further validate the effectiveness of the simulation process. The results of this research will provide a thorough investigation of how to characterize, simulate, and detect low-latitude scintillation signals, and will be helpful for the scientific research of space weather and the development of robust GNSS receivers.
机译:电离层闪烁期间的严重信号波动会对GNSS信号跟踪构成威胁,并降低位置,导航和定时解决方案的准确性,尤其是在低纬度地区。为了更好地了解电离层闪烁的行为,本文研究提出了几种有关闪烁信号仿真,信号表征和信号检测的方法。信号仿真基于二维两分量幂律相位屏蔽理论,该理论能够仿真固定和动态平台的多频GPS闪烁信号。在时域和空间频域中进行信号表征,为闪烁信号的仿真和检测奠定了基础,并验证了仿真的有效性。闪烁信号检测系统通过支持向量机框架实现,可以捕获幅度和相位闪烁事件,实现将来的闪烁信号分类和处理,并进一步验证仿真过程的有效性。这项研究的结果将为如何表征,模拟和检测低纬度闪烁信号提供透彻的研究,并将对空间天气的科学研究和强大的GNSS接收机的开发提供帮助。

著录项

  • 作者

    Jiao, Yu.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 221 p.
  • 总页数 221
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:54:25

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