GNSS GNSS INTEGRITY MONITORING METHOD BASED ON MACHINE LEARNING FOR SATELLITE NAVIGATION AUGMENTATION SYSTEM

摘要

An improvement plan for anomalous behavior of the TDNN-based GNSS signal reinforcement system is disclosed. The integrity monitoring method according to an embodiment is based on Time-Delay Neural Networks by utilizing the calculated test statistics for the Global Navigation Satellite System (GNSS) signal through Receiver Autonomous Integrity Monitoring. Generating a model of; And detecting an anomalous behavior of the GNSS as learning the GNSS signal received through the generated model.