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GNSS-based Observations and Simulations of Spectral Scintillation Indices in the Arctic Ionosphere

机译:基于GNss的北极电离层光谱闪烁指数观测与模拟

摘要

During disturbed times, ionospheric scintillations can be severe and adversely impact satellite-based positioning and radio transmissions. The scintillation occurs in the amplitude, phase, polarization, and angle of arrival of the signal. Precise observation, classification, modeling, forecasting, and development of data-driven methodologies to accurately localize ionospheric irregularities and simulate GNSS scintillation signals are highly desired. Ionospheric scintillations have traditionally been quantified by amplitude (S4) and phase scintillations (σφ). Our study focuses on the Arctic, where scintillations, especially phase scintillations, are prominent. We will present observations acquired from a network of Greenlandic GNSS stations, including 2D amplitude and phase scintillation index maps for representative calm and storm periods. In addition to the traditional indices described above, we are exploring a set of indices derived from the power spectra of the signals. The observed corner frequency of the power spectrum is a function of the Fresnel radius and the drift speed of the irregularities, while the slope of the power spectrum is related to the Fresnel oscillations. We will demonstrate how spectral characteristics of the scintillations act under large total electron content (TEC) gradients and how physical parameters can be extracted from the power spectra, and will present how these parameters of the corner frequencies and power spectra slopes vary during ionospheric storms. The observations will then be compared to properties of simulated GNSS signals computed by the Fast Scintillation Mode (FSM). The FSM was developed to simulate ionospheric scintillations under different geophysical conditions, and is used to simulate GNSS signals with known scintillation characteristics. This comparison could lead to a better understanding of the observed ionospheric state.
机译:在受干扰的时间里,电离层闪烁会很严重,会对基于卫星的定位和无线电传输产生不利影响。闪烁发生在信号的幅度,相位,极化和到达角度。迫切需要精确地观察,分类,建模,预测和开发数据驱动方法以准确定位电离层不规则现象并模拟GNSS闪烁信号。传统上,电离层闪烁是通过幅度(S4)和相位闪烁(σφ)来量化的。我们的研究集中在北极地区,那里的闪烁特别是相位闪烁特别突出。我们将展示从格陵兰GNSS站网络获得的观测结果,包括代表平静期和风暴期的2D幅度和相位闪烁指数图。除上述传统指标外,我们还在探索从信号功率谱中得出的一组指标。观察到的功率谱的拐角频率是菲涅耳半径和不规则度的漂移速度的函数,而功率谱的斜率与菲涅耳振荡有关。我们将演示在大的总电子含量(TEC)梯度下,闪烁的光谱特性是如何起作用的,以及如何从功率谱中提取物理参数,并介绍在电离层风暴期间拐角频率和功率谱斜率的这些参数如何变化。然后将观测值与通过快速闪烁模式(FSM)计算的模拟GNSS信号的属性进行比较。开发了FSM以模拟不同地球物理条件下的电离层闪烁,并用于模拟具有已知闪烁特性的GNSS信号。这种比较可以更好地了解所观测到的电离层状态。

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