A GNSS step-type spoofing jamming detection method and related product

Abstract

This invention discloses a method and related products for detecting GNSS step-type deception interference, belonging to the field of satellite navigation signal processing technology. The GNSS step-type deception interference detection method provided by this invention constructs a signal power sample set through sliding window segmentation processing and builds a feature sequence to characterize the statistical properties of the signal power samples. It utilizes a long short-term memory network model for time-series modeling, effectively capturing the temporal dynamic characteristics of the signal power samples. By calculating and fusing the distribution difference measure between the current detection window and the historical reference window, a comprehensive distribution drift index is constructed, which can sensitively and accurately reflect the drift of the signal power sample distribution. Based on the comprehensive distribution drift index, a dynamic threshold is constructed for decision-making, enabling the detection standard to adapt to environmental changes, thereby improving the reliability and accuracy of GNSS step-type deception interference detection under dynamic environments and varying environmental noise characteristics.

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