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Establishment of Regional Tropospheric Delay Model in Australia

机译:建立澳大利亚区域对流层延误模式

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Tropospheric delay error is independent of signal frequency and has strong temporal and spatial variation. It is one of the most important sources of error in satellite navigation and positioning. The common tropospheric empirical model is affected by the temporal and spatial characteristics of meteorological parameters, which cannot meet the needs of precision positioning. In this paper, we use the tropospheric delay data obtained from the GNSS continuous operation reference station in 2013-2017 years to analyze its spatiotemporal variation characteristics, and analyze the applicability of several commonly used tropospheric empirical models in Australia. At the same time, a ZTD spatiotemporal modeling method based on improved polyhedral function is proposed, and a regional non-meteorological delay model (A_ZTD) is established for the zenith tropospheric delay calculated by the Australian base station. After testing, the internal coincidence accuracy of the region model (A_ZTD) is 4.1 cm, and the fitting effect is better. The ZTD provided by the reference station, which is not involved in the modeling, the tropospheric delay provided by the GGOS Atmosphere and the ZTD derived from the sounding data solution are used as the external coincidence check. The results show that the accuracy of the A_ZTD model in Australia is better than that of the GZTD model, UNB3, UNB3m and UNB4 models. Compared with the empirical model, the accuracy of the A_ZTD model is improved in the region. This model can describe the spatial variation of the troposphere without meteorological parameters. It is more suitable for the precise correction of the regional tropospheric delay.
机译:对流层延迟误差与信号频率无关,具有强大的时间和空间变化。它是卫星导航和定位中最重要的错误来源之一。普通的对流层实证模型受气象参数的时间和空间特征的影响,这是不满足精密定位的需要。在本文中,我们在2013 - 2017年期间使用从GNSS连续操作参考站获得的对流层延迟数据来分析其时空变化特性,并分析了澳大利亚几种常用的对流层实证模型的适用性。同时,提出了一种基于改进多面体功能的ZTD时空建模方法,并建立了澳大利亚基站计算的Zenith对流层延迟的区域非气象延迟模型(A_ZTD)。测试后,区域模型(A_ZTD)的内部易核精度为4.1厘米,拟合效果更好。由参考站提供的ZTD,其未涉及建模,由GGOS气氛提供的对流层延迟和源自声音数据解决方案的ZTD作为外部巧合检查。结果表明,澳大利亚A_ZTD模型的准确性优于GZTD型号,UNB3,UNB3M和UNB4型号的精度。与实证模型相比,该地区的A_ZTD模型的准确性得到改善。该模型可以描述对流层的空间变异而没有气象参数。更适合于区域对流层延迟的精确校正。

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