Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation
Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation
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DOI：
10.1002/navi.379
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发表时间：
2020-08
期刊：
影响因子：
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通讯作者：
J. Vilà‐Valls;N. Linty;P. Closas;F. Dovis;J. Curran
中科院分区：
文献类型：
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作者：
J. Vilà‐Valls;N. Linty;P. Closas;F. Dovis;J. Curran
电离层闪烁是一种物理现象，影响来自太空的无线电波穿过电离层。这种干扰是由电离层电子密度不规则引起的，是全球导航卫星系统（GNSS）的主要威胁。从信号处理的角度来看，闪烁是最具挑战性的传播场景之一，特别是影响高精度GNSS接收器和安全关键应用，其中精度、可用性、连续性和完整性是强制性的。在闪烁条件下，GNSS信号受到幅度和相位变化的影响，这主要影响了接收机的同步级。为了抵消这些影响，必须求助于先进的信号处理技术，如自适应/鲁棒方法、机器学习或参数估计。本文回顾了GNSS接收机的信号处理情况，重点介绍了不同的检测、监测和缓解问题。利用实际数据提供了新的结果来支持讨论。最后，讨论了GNSS社区感兴趣的未来前景。
Ionospheric scintillation is the physical phenomena affecting radio waves coming from the space through the ionosphere. Such disturbance is caused by ionospheric electron‐density irregularities and is a major threat in Global Navigation Satellite Systems (GNSS). From a signal‐processing perspective, scintillation is one of the most challenging propagation scenarios, particularly affecting high‐precision GNSS receivers and safety critical applications where accuracy, availability, continuity, and integrity are mandatory. Under scintillation, GNSS signals are affected by amplitude and phase variations, which mainly compromise the synchronization stage of the receiver. To counteract these effects, one must resort to advanced signal‐processing techniques such as adaptive/robust methods, machine learning, or parameter estimation. This contribution reviews the signal‐processing landscape in GNSS receivers, with emphasis on different detection, monitoring, and mitigation problems. New results using real data are provided to support the discussion. To conclude, future perspectives of interest to the GNSS community are discussed.