Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts

Real-Time jamming detection using windowing and hybrid machine learning models for pre-saturation alerts

Abstract This paper proposes a new deep learning and machine learning model for detecting deception and suppression jamming in Ublox-M8T receivers operating under GNSS interference. This solution employs XGBoost for real-time classification of jamming signals, implemented on an STM32H743 microcontro...

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Bibliographic Details
Main Authors: J. Sormayli, M. Darvishi, K. Zarrinnegar, M. R. Mosavi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Jamming interference
Machine learning
Deep learning
Windowing
Hybrid models
Real-Time detection
Online Access:https://doi.org/10.1038/s41598-025-10567-0
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https://doi.org/10.1038/s41598-025-10567-0

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