Tropospheric wet delay, the main source of which is water vapor, is one of the major factors affecting the accuracy of positioning techniques using microwave. Tropospheric tomography is a powerful method to reconstruct the water vapor content in four-dimensional (4D) space. This paper studies the effect of using function-based and voxel-based tropospheric tomography methods on the positioning accuracy. This examination is performed on the static and kinematic positioning modes using Global Navigation Satellite Systems (GNSS) stations under different weather conditions. After validating the results of tomography methods using radiosonde observations, the tomography-based positioning solutions, including function-based and voxel-based approaches, are compared with the positions obtained using tropospheric models. The results of two GPS stations show that the accuracy increases when applying tomography approaches. The function-based tomography is able to increase the accuracy of the up component of the static and kinematic modes by about 0.42 and 0.79 cm, respectively, compared to the voxel-based method. In addition, the use of the function-based tropospheric tomography can decrease the convergence time of the kinematic Precise Point Positioning (PPP) solution.

对流层湿延迟的主要来源是水汽，是影响微波定位技术精度的主要因素之一。对流层断层扫描是重建四维 (4D) 空间中水汽含量的有力方法。本文研究了使用基于函数和基于体素的对流层层析成像方法对定位精度的影响。该检查是在不同天气条件下使用全球导航卫星系统 (GNSS) 站对静态和动态定位模式进行的。在使用无线电探空仪观测验证层析成像方法的结果后，将基于层析成像的定位解决方案（包括基于函数和基于体素的方法）与使用对流层模型获得的位置进行比较。两个 GPS 站的结果表明，应用断层扫描方法时精度会提高。与基于体素的方法相比，基于函数的断层扫描能够将静态和运动模式的向上分量的精度分别提高约 0.42 和 0.79 厘米。此外，使用基于函数的对流层层析成像可以减少运动学精确点定位（PPP）解决方案的收敛时间。