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.


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    Title :

    Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree


    Contributors:


    Publication date :

    2019-02-01


    Size :

    3980424 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English