Track-Consistency-Based GNSS RFI Monitoring Using Crowdsourced ADS-B Sensor Networks
This framework screens crowdsourced ADS-B data for GNSS interference by using a three-stage process. It first identifies potential position jumps based on speed, then verifies them against local track consistency to filter out timing errors. Finally, it clusters confirmed anomalies into traffic-adaptive events, providing a robust method to detect RFI consistent with satellite signal issues.