Integrity risk probability distribution method supporting satellite navigation positioning reliability requirement

Abstract

The invention belongs to the technical field of satellite navigation positioning, and particularly relates to an integrity risk probability distribution method supporting a satellite navigation positioning reliability requirement. The method comprises steps of according to navigation performance required in different navigation applications, establishing fault tree modules for integrity risk sources in different applications; according to the Bayes rule, finishing an optimal distribution scheme of the integrity risk probability; establishing an one order Markov switching module for each main integrity risk source, according to a specific integrity risk source, setting an initial condition and prior information of the module, and finally determining the P<md>; and determining a sigma expansion coefficient subset according to counting features on positioning errors imposed by specific integrity risk sources in different applications. According to the invention, an improved sigma expansion algorithm based on the expansion coefficient set is provided and expansion coefficients are determined, so theoretical basis is provided for ideal error hypothesis required by integrity monitoring; and a minimal protection level is finally designed, so the requirement of high reliability of satellite navigation positioning is met.

Description

technical field [0001] The invention belongs to the technical field of satellite navigation and positioning, and in particular relates to an integrity risk probability allocation method supporting the reliability requirements of satellite navigation and positioning. Background technique [0002] With the comprehensive construction of the Global Navigation Satellite System (GNSS) and its augmentation system, the accuracy of the navigation system can meet the needs of most users. In contrast, in civil aviation and Safety of Life (SoL) and other related fields, integrity issues that play an important role in determining the safety of users have become the focus of research. [0003] There are many integrity risk sources that affect the performance of satellite navigation and positioning, and the integrity risk probability assigned to the integrity risk source directly determines its availability level. Therefore, the risk probability allocation of multiple integrity risk source...

AI Technical Summary

Problems solved by technology

The traditional average distribution method ignores the primary and secondary issues of the contribution of different integrity risk sources to positioning errors, resulting in a low level of overall system availability

The method of improving local monitoring efficiency will also cause the "barrel effect" of system availability: that is, by adjusting the integrity risk probability of a specific risk source to increase its availability level, the availability level of other system integrity risk sources will be reduced

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