Connected and Automated Vehicle (CV/AV) technologies are rapidly advancing and are poised to transform the transportation industry. As vehicles move beyond current Level 1 and Level 2 advanced driver assistance systems (ADAS) towards full Level 5 autonomy access to reliable positioning information becomes increasingly important. Many, if not all, of the safety benefits provided by connected and automated vehicles are lost if the vehiclesÂ’ navigation systems are compromised or unreliable. In order to ensure the reliability of connected and automated vehicles, a system is needed to detect, classify, and report GPS anomalies. In this work, a small, low-cost GPS monitoring system will be developed that can detect disruptions to GPS signals that could affect the accuracy and reliability of navigation systems in nearby vehicles. The system will be capable of detecting and classifying both intentional and unintentional interference, jamming, and spoofing signals on the GPS L1, L2, and L5 bands.
