Fusion tropospheric model and its application in precise point positioning
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摘要: 受实测气象参数的限制,使用标准大气参数的传统对流层模型的精度并不高;使用参数估计法的精密对流层模型增加了观测方程的待估参数,影响收敛速度. 针对实测气象参数缺失的情况,提出一种融合对流层模型,使用两种非实测气象参数模型分别计算出平均海平面处和测站处的气象参数,再利用Saastamoinen模型经验公式求解天顶对流层延迟(ZTD). 利用RTKLIB软件进行精密单点定位(PPP)实验. 提出的融合对流层模型摆脱了实测气象参数的限制,解算结果表明:使用该模型时,在东、北、天方向的定位精度分别比Saastamoinen模型提高16 mm、1 mm、2.2 mm,比MOPS模型提高13.8 mm、0.7 mm、1.6 mm,比GPT/UNB3m+Sa模型提高2.9 mm、0.4 mm、0.7 mm,在天、北方向的定位精度接近参数估计模型,实现了PPP定位精度的提高.Abstract: Limited by the measured meteorological parameters, the accuracy of the traditional tropospheric model using standard atmospheric parameters is not high. The precise tropospheric model using parameter estimation method increases the number of parameters to be estimated of the observation equation and affects the convergence rate. For the absence of measured meteorological parameters, a fusion tropospheric model is proposed. Two non-measured meteorological parameter models are used to calculate the meteorological parameters at the average sea level and at the station respectively, and then the Saastamoinen model empirical formula is used to solve the zenith tropospheric delay. Precise point positioning(PPP) experiments were performed on RTKLIB software. The proposed fusion tropospheric model is free from the limits of measured meteorological parameters. The results show that when this fusion troposphere model is used, the positioning accuracy in the east, north and up directions is improved by 16 mm、1 mm、2.2 mm, compared with the Saastamoinen model, respectively.And, the positioning accuracy in the east, north and up directions is improved by 13.8 mm、0.7 mm、1.6 mm compared with the MOPS model,respectively. The positioning accuracy in the east, north and up directions is improved by 2.9 mm、0.4 mm、0.7 mm compared with the GPT/UNB3m+Sa model,respectively. The positioning accuracy in the up and north direction is close to the parameter estimation model. The PPP positioning accuracy is improved by using the proposed fusion tropospheric model.
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