沙尘和雾霾天气下GNSS对流层延迟的校正模型

Xinliang Cao, Luo Shouyu, N. Zhao, Rui Yang, Haisheng Huang
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引用次数: 0

摘要

对流层时延是影响GNSS定位精度的一个因素,对流层折射率的不稳定性是造成对流层时延补偿偏差的原因。本文在考虑大气水汽含量和台站大气温度的情况下,简化了折射率参数校正模型的建立,取代了依赖气象因素的折射率模型。校正模式的参数由对流层分层法确定。结果表明,在相同的天气条件下,陕北地区的精度高于关中地区,而离地面较远时折射率的校正值并不理想。利用该模型估算ZTD,并与IGS 3个台站(LHAZ、BJFS、SHAO)的估算结果进行了比较,结果表明该模型总体上提高了ZTD估算的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Correction Model of Troposphere Delay for GNSS Signal in the Dust and Haze Weather
Tropospheric delay is a factor that affects GNSS positioning accuracy, and the instability of the tropospheric refractive index is the cause of the deviation of tropospheric delay compensation. In the case of taking into account the atmospheric water vapor content and the atmospheric temperature of the station, this paper simplifies the establishment of a parametric refractive index correction model to replace the refractive index model that depends on meteorological factors. The parameters of the correction model are determined by the tropospheric layering method. The results show that under the same weather conditions, the accuracy in northern Shaanxi is higher than that in Guanzhong, and the correction value of refractive index is not ideal when it is far from the ground. Based on the model to estimate the ZTD, the results are compared with the results obtained by three IGS stations (LHAZ, BJFS, SHAO), which confirms that the accuracy of the ZTD estimation is generally improved by the model.
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