Long baseline RTK ionospheric process noise adaptive adjustment method under ionospheric scintillation

By adaptively adjusting ionospheric process noise and optimizing ionospheric power spectral density, the problem of decreased long-baseline RTK positioning accuracy caused by ionospheric scintillation was solved, achieving centimeter-level positioning accuracy and reducing ambiguity error fixation rate.

CN122410567APending Publication Date: 2026-07-17CHANGAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In ionospheric scintillation environments, long-baseline RTK positioning accuracy suffers from a decline. Existing technologies struggle to effectively address the rapid and drastic nonlinear changes in parameters caused by ionospheric scintillation, leading to filter divergence and large positioning errors.

Method used

By calculating the rate of change of total electron content and power spectral density of the ionosphere based on the single difference between stations, the optimal amplification function is fitted to adaptively adjust the traditional empirical ionospheric power spectral density, dynamically adjust the ionospheric process noise, input the prediction covariance matrix of the Kalman filter, and optimize the ionospheric power spectral density to adapt to the real changes under ionospheric scintillation.

Benefits of technology

It significantly improves the positioning accuracy of long baseline RTK, with positioning accuracy stabilizing at the centimeter level, reducing the ambiguity error fixation rate, and alleviating the parameter estimation distortion problem during ionospheric scintillation.

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Abstract

本发明属于GNSS高精度定位技术领域,具体涉及一种电离层闪烁下的长基线RTK电离层过程噪声自适应调节方法,本发明基于GNSS原始观测值获取站间单差的电离层功率谱密度与经验功率谱密度进行比值得到电离层功率谱密度放大比值,将电离层功率谱密度放大比值与站间单差的电离层总电子含量变化率指数进行拟合,输出最优放大函数,利用最优放大函数对经验电离层功率谱密度进行自适应调节,使优化后的电离层功率谱密度可以适应电离层闪烁情况下的真实电离层变化,将其输入到卡尔曼滤波的预测协方差矩阵中,可使长基线RTK实现厘米级固定解。相较于传统经验过程噪声模型,本发明方法在电离层闪烁期间显著提升了长基线RTK的定位精度。
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