A positioning method, system, device, medium and product

By selecting the set of base stations closest to the user, constructing and optimizing the ionospheric interpolation model, the problem of model accuracy and reliability caused by changes in ionospheric activity in BeiDou ground-based augmentation positioning was solved, and high-precision positioning was achieved at all times.

CN122172246APending Publication Date: 2026-06-09ELECTRIC POWER RES INST OF GUANGDONG POWER GRID CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID CO LTD
Filing Date
2026-03-20
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing BeiDou ground-based augmentation positioning methods suffer from reduced model reliability and accuracy when the ionosphere is calm due to insufficient data; and when the ionosphere is active, data redundancy introduces noise and bias, leading to a decrease in model accuracy and reliability.

Method used

By acquiring base station location data and user location data, an initial set of base stations closest to the user is selected, an initial ionospheric interpolation model is constructed, and the applicable range of the model is dynamically adjusted by iteratively adding base stations. The actual ionospheric error is calculated using real-time observation data and carrier phase observations. A linear fitting method is used to construct the model, and the accuracy and reliability of the model are optimized by combining distance weighting and prediction bias evaluation.

Benefits of technology

It achieves high-precision and reliable positioning even when the ionospheric activity state changes, especially during periods of ionospheric activity, it can still achieve centimeter-level positioning accuracy, thus improving the model's adaptability and stability.

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Abstract

The application discloses a positioning method, system, device, medium and product, and belongs to the technical field of satellite navigation and positioning. The method comprises the following steps: determining an initial base station set according to first position data of all first base stations and second position data of a user; calculating actual errors according to real-time observation data of each second base station in the initial base station set, obtaining an initial interpolation model, and then obtaining an initial internal coincidence precision and an initial correction number; if the initial internal coincidence precision is less than a first preset threshold, iteratively adding a third base station to the initial base station set to obtain a current model, stopping iteration until a first stop condition or a second stop condition is met, and determining a target model according to a stop type; calculating a target correction number according to the target model, correcting initial observation data through the target correction number, and obtaining a user positioning result. Therefore, the model precision and reliability can be improved, and high-precision positioning in a full time period can be realized by implementing the application.
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