电离层（氢原子）层析成像：利用GNSS反射的可行性研究
Ionospheric (H-atom) Tomography: a Feasibility Study using GNSS Reflections
摘要：
在这份报告中，我们分析了利用GNSS技术进行电离层监测的可行性。重点将是使用低地球轨道全球导航卫星系统数据，利用全球导航卫星系统反射、导航和掩星TEC测量。为了解决这个问题，我们模拟了全球导航卫星系统电离层TEC数据，因为它将从极地低地球轨道（利用导航，掩星和反射TEC数据）和IGS地面站测量，通过使用气候电离层模型（我们已经探讨了NeQuick和PIM）。然后，我们开发了一种新的断层摄影方法的启发物理学的氢原子，这已被比较以前成功的，但有点尴尬的方法（使用体素表示），并采用检索电子密度场从模拟TEC数据。这些使用模拟数据的层析反演结果表明了GNSS-R和GNSS-NO数据的重大影响：即使在这种初步研究的精神下，模拟和反演方法避免了密集的计算和复杂的算法元素（时空平滑），也可以相当准确地检索海洋上空的三维电离层电子密度场。我们的结论是，GNSS-R数据可以显着贡献的GIOS（全球/GNSS电离层观测系统）。
英文摘要：
In this report we analyze the feasibility of ionospheric monitoring using GNSS technology. The focus will be on the use of LEO GNSS data, exploiting GNSS Reflections, Navigation and Occultation TEC measurements. In order to attack this question, we have simulated GNSS ionospheric TEC data as it would be measured from a polar LEO (exploiting Navigation, Occultation and Reflection TEC data) and IGS ground stations, through the use of a climatic ionospheric model (we have explored both NeQuick and PIM). We have then developed a new tomographic approach inspired on the physics of the hydrogen atom, which has been compared to previous successful but somewhat awkward methods (using a voxel representation) and employed to retrieve the Electronic Density field from the simulated TEC data. These tomographic inversion results using simulated data demonstrate the significant impact of GNSS-R and GNSS-NO data: 3D ionospheric Electron Density fields are retrieved over the oceans quite accurately, even as, in the spirit of this initial study, the simulation and inversion approaches avoided intensive computation and sophisticated algorithmic elements (spatio-temporal smoothing). We conclude that GNSS-R data can contribute significantly to the GIOS (Global/GNSS Ionospheric Observation System).
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