发表机构
School of Integrated Technology Yonsei University; Korea Research Institute of Standards and Science（延世大学综合技术学院; 韩国计量科学研究院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对月球表面GNSS接收机时钟同步，提出结合卫星天底角与C/N0的测量加权模型，在七个运行周期中六个取得最低时钟偏差RMSE，总体RMSE为5.78米，较最佳对比模型降低19.5%。
AI 中文摘要
最近，Blue Ghost Mission 1上的月球GNSS接收机实验（LuGRE）演示了利用地球轨道全球导航卫星系统（GNSS）星座的信号在月球表面进行定位、导航和授时。对于使用GNSS的接收机时钟同步，卡尔曼滤波器的性能取决于用于构建测量噪声协方差的卫星特定测量不确定性。地面测量加权通常依赖于接收机仰角，但在所分析的LuGRE数据中，仰角被限制在24.2-31.5度范围内，对测量质量的区分能力有限。相比之下，卫星天底角范围在12.1-66.6度之间，且测量变异性在小天底角时显著增加。基于这一观察，我们提出了一种将卫星天底角与C/N0相结合的测量加权模型，用于月球表面接收机时钟同步。该模型与从文献中采用的三种加权方法在七个LuGRE运行周期（OPs）上进行了评估。它在七个运行周期中的六个中实现了最低的接收机时钟偏差均方根误差（RMSE），总体RMSE为5.78米，比最佳比较模型低19.5%。该模型在模拟测量中断下还提供了最低的时钟偏差预测RMSE。
英文摘要
The use of signals from Earth-orbiting Global Navigation Satellite System (GNSS) constellations for positioning, navigation, and timing on the lunar surface was recently demonstrated by the Lunar GNSS Receiver Experiment (LuGRE) aboard Blue Ghost Mission 1. For receiver clock synchronization using GNSS, Kalman filter performance depends on the satellite-specific measurement uncertainty used to construct the measurement noise covariance. Terrestrial measurement weighting commonly relies on receiver elevation angle, but the elevation angles in the analyzed LuGRE data are confined to 24.2-31.5 degrees, providing limited discrimination of measurement quality. In contrast, satellite nadir angles span 12.1-66.6 degrees, and the measurement variability increases substantially at small nadir angles. Based on this observation, we propose a measurement weighting model that combines satellite nadir angle with C/N0 for lunar surface receiver clock synchronization. The proposed model is evaluated against three weighting methods adopted from the literature using seven LuGRE operation periods (OPs). It achieves the lowest receiver clock bias root mean square error (RMSE) in six of the seven OPs and an overall RMSE of 5.78 m, which is 19.5% lower than that of the best comparison model. The proposed model also provides the lowest clock bias prediction RMSE under simulated measurement outages.
CommentsSubmitted to ICCE-Asia 2026
