Abstract: A peak suppression monitor is coupled to a tracking channel. The peak suppression monitor facilitates receiving, from the tracking channel over a time period, real-time correlation data derived from a global navigation satellite system signal. The real-time correlation data having one or more peaks. Predicted correlation data corresponding to the real-time correlation data is determined based on historical correlation data. A presence of spoofing within the real-time correlation data is identified based on one or more peaks of residual correlation data. The residual correlation data including a comparison between the real-time correlation data and the predicted correlation data. Spoofing detecting data is generated based on the presence of spoofing and the residual correlation data. The generated spoofing detecting data to the tracking channel is provided for further mitigation or a notification identifying the presence of spoofing is provided to a user.

Abstract: Systems, methods, and non-transitory computer program products for mitigating global navigation satellite system spoofing (GNSS). Real-time correlation data derived from a GNSS signal is received from a tracking channel over a time period. The real-time correlation data includes one or more peaks. The one or more peaks of the real-time correlation data are monitored to determine a presence of at least two distinct peaks separated by at least a predetermined minimum amount of time. An authentic peak is identified within the at least two distinct peaks based on a comparison of predicted correlation data with the real-time correlation data. A tracking command is provided to the tracking channel to facilitate modifying tracking points to center on the authentic peak.

Abstract: A peak suppression monitor is coupled to a tracking channel. The peak suppression monitor facilitates receiving, from the tracking channel over a time period, real-time correlation data derived from a global navigation satellite system signal. The real-time correlation data having one or more peaks. Predicted correlation data corresponding to the real-time correlation data is determined based on historical correlation data. A presence of spoofing within the real-time correlation data is identified based on one or more peaks of residual correlation data. The residual correlation data including a comparison between the real-time correlation data and the predicted correlation data. Spoofing detecting data is generated based on the presence of spoofing and the residual correlation data. The generated spoofing detecting data to the tracking channel is provided for further mitigation or a notification identifying the presence of spoofing is provided to a user.