A Quick-response Failure Detection Model of GNSS Airborne System

Abstract

The failure detection of the GNSS airborne system can reduce the navigation and positioning failure rate of the GNSS airborne system. While, it takes more longer time to complete the failure detection by traditional failure detection model. Therefore, a novel failure detection model of the GNSS airborne system has been considered and developed by differential equation of gray theory to predict the next arrival time of the heartbeat message when GNSS fails. Furthermore, the reliable message communication can be realized through the prediction result, and failure judgment of the GNSS airborne system, which is defined and utilized as the preliminary judgment basis, can be carried out. Then, the failure detection model of the GNSS airborne system is established in basis on combination logic between rumor heartbeat realization mode and monitoring heartbeat realization mode. Finally the proposed model in this present paper had been simulated and proved the shortest response time, which proves the performance of the model.