PPP-AR ambiguity error fixed integrity risk modeling method and device

By employing deseparation methods and multidimensional feature extraction, combined with logistic regression and fault tree analysis models, accurate identification and risk allocation of ambiguity errors in PPP-AR systems are achieved, enhancing the system's integrity assurance capabilities and making it suitable for high-reliability positioning applications with multiple constellations and frequencies.

CN121784779AActive Publication Date: 2026-04-03AEROSPACE INFORMATION RES INST CAS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-09
Publication Date
2026-04-03

AI Technical Summary

Technical Problem

In existing PPP-AR integrity studies, the fixed probability of errors is difficult to quantify in real time, multi-source observation information is not fully explored, multi-source observation features are not jointly modeled, and the protection-level calculation is not coupled with the fixed probability of errors, resulting in a high misjudgment rate in complex environments and failing to meet the integrity risk indicators.

Method used

The deseparation method is used to determine whether the satellite ambiguity is correctly fixed epoch by epoch, generate fixed correctness labels and extract multi-dimensional features, construct logistic regression and fault tree analysis models, optimize and weightedly fuse the model output through K-fold cross-validation, combine the worst-case signal ranging error of the satellite to perform risk allocation, construct a satellite exclusion mechanism and introduce protection level calculation.

Benefits of technology

It achieves accurate identification of ambiguity errors with a fixed probability and reasonable allocation of risks, improving the integrity assurance capability of the PPP-AR system. It is suitable for safety-critical positioning applications with multiple constellations, multiple frequencies, and high reliability requirements.

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Abstract

The invention provides a PPP-AR ambiguity error fixed integrity risk modeling method and device, and belongs to the technical field of satellite navigation integrity, and the method comprises the steps: judging whether the ambiguity of each satellite under each epoch is correctly fixed or not based on a solution separation method, generating an ambiguity fixed label, and extracting related feature information; respectively constructing a logistic regression model and a fault tree analysis model by utilizing the labels and the feature information, establishing an ambiguity error fixed probability model, optimizing the model by adopting K-fold cross validation, and fusing the outputs of the logistic regression model and the fault tree analysis model to obtain a steady error fixed total probability; in combination with the space signal ranging error of the worst situation of each satellite, the square of the ranging error is used as a weight to distribute the total probability, and the error fixed probability of each satellite is obtained; based on the error fixed probability of each satellite, a satellite exclusion mechanism is constructed, an integrity model is introduced, and the protection level containing risk items is calculated. According to the method, the integrity and continuity risk requirements of the user are met.
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Citation Information

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