顾及伪卫星空间分布的随机模型及定位优化

doi:10.12305/j.issn.1001-506X.2026.06.26

Abstract

Abstract:

Aiming at the problem of the traditional stochastic models that insufficiently consider the geometrical configuration of the pseudolites and the dependence of some parameters in the models on empirical values, firstly a stochastic model is constructed based on the dilution of precision （DOP）, secondly a real-time estimation method of the carrier phase variance of the moving window is designed, and the stochastic model parameters are adjusted adaptively by calculating the carrier phase observation noise of the historical calendar elements of the fixed window in real time. Finally, the DOP contribution weighting and adaptive parameter adjustment are combined to form a stochastic model refinement method based on the pseudolite geometric configuration. The experiment results show that the horizontal positioning accuracy of the proposed method is 0.136 3 m, which is improved by 25.68% and 23.98% compared with that of the equal-weight model and the carrier to noise ratio model, respectively.

Key words: stochastic model refinement, dilution of precision, pseudolite positioning system, position accuracy

CLC Number:

U 268.6

Chunyi KONG, Wei JIANG, Jian WANG, Baigen CAI, Xiaohui BA, Jiang LIU, Debiao LU. Stochastic model and positioning optimisation based on pseudolite geometrical distribution[J]. Systems Engineering and Electronics, 2026, 48(6): 2064-2071.

Figures/Tables 10

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参数	方向	等权模型	基于HDOP贡献度随机模型
均方根误差	北向	0.4873	0.3697
均方根误差	东向	0.3131	0.2839
水平均方根误差	—	0.5792	0.4661

参数	方向	等权模型	载噪比模型	基于HDOP贡献度模型
均方根误差	北向	0.1542	0.1521	0.1144
均方根误差	东向	0.0993	0.0949	0.0740
水平均方根误差	—	0.1834	0.1793	0.1363

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Stochastic model and positioning optimisation based on pseudolite geometrical distribution

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