The Technology Of Performance Evaluation For IRS / GNSS Integrated Navigation System

In order to promote the continued safety of civil aviation effectively, increase airspace capacity, reduce the investment of ground navigation infrastructures, improve the effect of energy-saving and emission-reduction,Performance-based navigation (PBN) has been performed all over the world.China has made itself PBN implementation plans definitely, will implement the required navigation performance (RNP) technology plan wih the support of GNSS which proclaims it will not use the Wide Area Augmentation techniques definitely in vast central and western regions of china. So, the navigation capability will depend on airborne navigation system more and more., In order to meet the future requirements for the performances of airborne navigation system in the in-route,the technology research of performance evaluation for IRS/GNSS integrated Navigation system will be a key aspect of China's PBN implementation plan.The performance evaluation of Navigation system relates to accuracy, integrity, continuity, availability and reliability, not just accuracy evaluation. In the view of airborne equipment performance of navigation systems, this paper systematically evaluates the performance of the integrated navigation system under PBN manual and airworthiness requirements.Based on the civil subsonic flight characteristics, this paper integrates IRS/GNSS into a system with a loose integration of navigations. This paper analyses the position errors of IRS/GNSS system, then integrate it with the flight technical errors and track definiting error to evaluate the accuracy of system; The evaluation of integrity includes the warning capability evaluation by testing the limits of systemic errors and the measurement and evaluation of integrity by testing the failure probability of the monitoring and controlling system of integrity.This paper evaluates the continuity of system wih the risk-tree analysis method. This paper evaluates the availability and reliability of system according to the operating time and the mean time between failures. Finally, this paper demonstrates the feasibility of performance evaluation techniques through simulation experiments.