Stochastic model refinement of GNSS advanced receiver autonomous in-tegrity monitoring
Global navigation satellite system(GNSS)receiver must have the capability of integrity monitoring in safety of life(SoL)applications.Advanced receiver autonomous integrity monitoring(ARAIM)which is expected to be extended to several application fields is the latest developments in the integrity monitoring of civil aviation,but the receiver-dependent term of sto-chastic model in ARAIM is usually established by an elevation-dependent model provided by radio technical committee for aero-nautics(RTCA),which can only characterize the receiver noise of GNSS receiver of civil aviation.As a result,the performance of integrity monitoring would be adversely impacted.In this paper,the elevation-dependent model with adaptive coefficients to characterize the receiver-dependent errors is refined by the least square variance component estimation(LS-VCE)in order to extend the application scope of the ARAIM,and is verified by using the satellite-borne GNSS observation data of GRACE Follow-on(GRACE-FO)as an example.The results indicate that the overall performances of GNSS positioning and integrity monitoring are significantly improved by using the refined stochastic model.The ability of fault detection and exclusion is im-proved.Furthermore,protection level(PL)will decrease significantly,and so as to enhance the availability of the integrity monitoring system.
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维普
