Establishment of optimal noise model for GNSS time series in Zhejiang

Shuangxian Li; Ronghua Yang; Jun Gong; Decheng Zhu

doi:10.1117/12.2681305

8 June 2023 Establishment of optimal noise model for GNSS time series in Zhejiang

Shuangxian Li, Ronghua Yang, Jun Gong, Decheng Zhu

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127074C (2023) https://doi.org/10.1117/12.2681305
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

With the continuous improvement of GNSS observation technology, and the accumulation of decades of observation data of GNSS observation stations such as IGS station, more in-depth analysis of GNSS coordinate time series can be carried out. GNSS coordinate time series can be described as the sum of actual signal and noise. Modeling and correcting the noise in GNSS coordinate time series can play a good role in weakening the error in GNSS data. In this paper, the optimal noise model of the coordinate time series of 18 CORS stations in Zhejiang region is established. The experimental results show that the noise models of the coordinate time series of CORS stations in Zhejiang are diverse, and the N, E, U components show different noise characteristics, which is different from the existing models. The existing Flicker Noise + White Noise (WN+FN) combination model can only represent the optimal noise characteristics of 29.63% station components; When analyzing the anniversary amplitude, ignoring the selection of the noise model will lead to the underestimation of the anniversary amplitude. Compared with WN+FN, the impact of different complex noise models on the velocity is negligible, but the impact on the velocity uncertainty of each component of the station is large. Using only a single noise model will cause the underestimation of the station velocity uncertainty.

Citation Download Citation

Shuangxian Li, Ronghua Yang, Jun Gong, and Decheng Zhu "Establishment of optimal noise model for GNSS time series in Zhejiang", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127074C (8 June 2023); https://doi.org/10.1117/12.2681305

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KEYWORDS

Satellite navigation systems

Performance modeling

Mathematical modeling

Global Positioning System

Analytical research

Data modeling

Error analysis

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