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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Correlation between Ionospheric Spatial Decorrelation and Space Weather Intensity for Safety-Critical Differential GNSS Systems
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Correlation between Ionospheric Spatial Decorrelation and Space Weather Intensity for Safety-Critical Differential GNSS Systems

机译：安全关键型差分GNSS系统的电离层空间解相关与空间天气强度之间的相关性

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An ionospheric spatial decorrelation is one of the most dominant error factors that affects the availability of safety-critical differential global navigation satellite systems (DGNSS). This is because systems apply significant conservatism on the error source when ensuring navigation safety due to its unpredictable error characteristic. This paper investigates a correlation between GNSS-derived ionospheric spatial decorrelation and space weather intensity. The understanding of the correlation has significant advantages when modeling residual ionospheric errors without being overly pessimistic by exploiting external sources of space weather information. An ionospheric spatial decorrelation is quantified with a parameter of spatial gradient, which is an ionosphere total electron content (TEC) difference per unit distance of ionospheric pierce point (IPP). We used all pairs of stations from dense GNSS networks in the conterminous United States (CONUS) that provide an IPP separation distance of less than 100 km to obtain spatial gradient measurements under both ionospherically quiet and active conditions. Since the correlation results would be applied to safety-critical navigation applications, special attention was paid by taking into consideration all non-Gaussian tails of a spatial gradient distribution when determining spatial gradient statistics. The statistics were compared with space weather indices which are disturbance storm time (Dst) index and interplanetary magnetic field (IMF) Bz index. As a result, the ionospheric spatial decorrelation showed a significant positive correlation with both indices, especially under active ionospheric conditions. Under quiet conditions, it showed positive correlation slightly weaker than those under active conditions, and the IMF Bz showed preceding response to the spatial gradient statistics revealing the potential applicability for predicting the spatial decorrelation conditions.
机译：电离层空间去相关是影响安全关键型差分全球导航卫星系统（DGNSS）可用性的最主要误差因素之一。这是因为由于其不可预测的错误特性，在确保导航安全时，系统在错误源上应用了显着的保守性。本文研究了源自GNSS的电离层空间去相关与空间天气强度之间的相关性。在对剩余电离层误差建模时，通过利用外部空间天气信息源而不会过于悲观，对相关性的理解具有显着优势。电离层空间去相关用空间梯度参数量化，该参数是电离层刺穿点（IPP）的每单位距离的电离层总电子含量（TEC）差。我们使用了来自美国本土（CONUS）密集GNSS网络的所有成对站，它们提供了小于100 km的IPP分隔距离，以在电离层安静和活跃条件下获得空间梯度测量值。由于相关结果将应用于安全关键型导航应用程序，因此在确定空间梯度统计信息时要特别考虑到空间梯度分布的所有非高斯尾部。将统计数据与空间天气指数（干扰风暴时间（Dst）指数和行星际磁场（IMF）Bz指数）进行比较。结果，电离层空间去相关与两个指数都显示出显着的正相关，特别是在活跃的电离层条件下。在安静的条件下，它的正相关性略低于活动条件下的正相关性，而IMF Bz对空间梯度统计数据的响应较早，从而揭示了预测空间去相关条件的潜在适用性。

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