This paper proposes a methodology for automatic, accurate, and early detection of amplitude ionospheric scintillation events, based on machine learning algorithms, applied on big sets of 50 Hz postcorrelation data provided by a global navigation satellite system receiver. Experimental results on real data show that this approach can considerably improve traditional methods, reaching a detection accuracy of 98%, very close to human-driven manual classification. Moreover, the detection responsiveness is enhanced, enabling early scintillation alerts.
Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree
IEEE Transactions on Aerospace and Electronic Systems ; 55 , 1 ; 303-317
01.02.2019
3980424 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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