The Global Navigational Satellite System (GNSS) technique is naturally sensitive to the geocenter motion, similar to all satellite techniques. However, the GNSS-based estimates of the geocenter used to contain more orbital artifacts than the geophysical signals, especially for the Z component of the geocenter coordinates. This contribution conveys a discussion on the impact of solar radiation pressure (SRP) modeling on the geocenter motion estimates. To that end, we process 3 years of GPS, GLONASS, and Galileo observations (2017–2019), collected by a globally distributed network of the ground stations. All possible individual system-specific solutions, as well as combinations of the available constellations, are tested in search of characteristic patterns in geocenter coordinates. We show that the addition of a priori information about the SRP-based forces acting on the satellites using a box-wing model mitigates a great majority of the spurious signals in the spectra of the geocenter coordinates. The amplitude of the 3 cpy (about 121 days) signal for GLONASS has been reduced by a factor of 8.5. Moreover, the amplitude of the spurious 7 cpy (about 52 days) signal has been reduced by a factor of 5.8 and 3.1 for Galileo and GPS, respectively. Conversely, the box-wing solutions indicate increased amplitudes of the annual variations in the geocenter signal. The latter reaches the level of 10–11 mm compared to 4.4 and 6.0 mm from the satellite laser ranging observations of LAGEOS satellites and the corresponding GNSS series applying extended empirical CODE orbit model (ECOM2), respectively. Despite the possible improvement in the GLONASS-based Z component of the geocenter coordinates, we show that some significant power can still be found at periods other than annual. The GPS- and Galileo-based estimates are less affected; thus, a combination of GPS and Galileo leads to the best geocenter estimates.

与所有卫星技术类似，全球导航卫星系统（GNSS）技术对地球中心运动自然敏感。但是，基于GNSS的地球中心估算值通常比地球物理信号包含更多的轨道伪像，尤其是对于Z地心坐标的分量。该贡献传达了关于太阳辐射压力（SRP）建模对地球中心运动估计的影响的讨论。为此，我们处理了3年的GPS，GLONASS和Galileo观测（2017-2019年），这些观测是由全球分布的地面站网络收集的。测试所有可能的特定于系统的解决方案以及可用星座的组合，以搜索地球中心坐标中的特征模式。我们表明，使用盒翼模型添加有关基于SRP的作用在卫星上的力的先验信息，可以减轻地球中心坐标频谱中的大部分杂散信号。GLONASS的3 cpy（约121天）信号的幅度降低了8.5倍。此外，对于Galileo和GPS，伪造的7 cpy（约52天）信号的幅度分别降低了5.8和3.1倍。相反，箱翼解表明地球中心信号年变化的幅度增加。后者达到10-11毫米的水平，而LAGEOS卫星和相应的GNSS系列的卫星激光测距观测分别使用扩展的经验代码轨道模型（ECOM2）达到4.4和6.0毫米。尽管可以改善基于地球中心坐标的基于GLONASS的Z分量，但我们显示，在除年度之外的其他时间段仍可以找到一些强大的功率。基于GPS和伽利略的估计受到的影响较小；因此，将GPS和Galileo结合使用可获得最佳的地心估计。