Method and system for evaluating integrity of foundation enhancement system

Abstract

The invention provides a method and a system for evaluating the integrity of a foundation enhancement system. The method for evaluating integrity of foundation enhancement system comprises the following steps: acquiring a positioning error time sequence and a protection level time sequence and acquiring corresponding safety factor samples; acquiring a core distribution mean value, a core distribution standard deviation and a core distribution model according to the safety factor samples; acquiring a threshold parameter and the position parameter of a GP tail distribution model according to the core distribution model and a preset GP tail distribution model; acquiring a superthreshold sample set according to the position parameter of the GP tail distribution model; resampling the superthreshold sample set by use of a BootStrap method and acquiring a self-service sample set; then performing estimation treatment on each sample in the self-service sample set by use of a maximum likelihood estimation method so as to acquire distribution of shape parameters in the GP tail distribution model and distribution of scale parameters in the GP tail distribution model; acquiring a mean value of risk estimated values and taking the mean value of the risk estimated values as the integrity evaluation value.

Description

technical field [0001] The invention relates to the field of satellite navigation, in particular to a method and system for evaluating the integrity of a ground-based augmentation system based on a GP envelope model. Background technique [0002] Global Navigation Satellite System (GNSS for short) means that the user calculates the distance from the user's receiver to the satellite and the real-time position of the satellite based on the satellite navigation signal received from the navigation satellite. In order to obtain high-precision positioning results, augmentation systems have appeared in the global satellite navigation system. GBAS), in which the performance of SBAS has reached the optimal level, so the navigation based on GNSS terminal area in the future will rely more on the implementation of GBAS. [0003] At present, there have been many researches on GBAS system application optimization in China, and some studies have been conducted on GBAS performance evaluati...

AI Technical Summary

Problems solved by technology

However, the tail envelope model used in the existing model extrapolation methods has strong premise model assumption constraints on the tail distribution type, that is, the positioning error must satisfy the Gaussian distribution model or the Laplace distribution model

However, in practical applications, the positioning error is often not consistent with the assumed model

Therefore, using the existing model extrapolation method will cause a large extrapolation model error

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