一个多全球导航卫星系统 (GNSS) 时间传输方法与联合卡尔曼波器 (FKF)
Kun Liang1, Shuangyu Hao1, Zhiqiang Yang2
1School of Electronics and Information Engineering, Beijing Jiaotong University (BJTU), Beijing 100044, China.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
多重全球导航卫星系统 (GNSS) 的测量提高了时间传输的可靠性和短期稳定性. 一种新的联合卡尔曼波器方法与加权数据融合显著降低噪声水平以提高精度.
科学领域:
- 地测和地球物理学的地质学.
- 卫星导航系统 卫星导航系统
- 计量学和测量科学 计量学和测量科学
背景情况:
- 单一全球导航卫星系统 (GNSS) 的测量在时间传输可靠性和短期稳定性方面存在局限性.
- 之前的研究结合了多个GNSS测量,但经常使用相同的权重,不能完全优化性能.
- 需要提高GNSS时间传输的精度,需要探索先进的数据融合技术.
研究的目的:
- 分析不同重量分配对多个GNSS时间转移测量的影响.
- 开发和应用一个联合的卡尔曼过器,以合并多个GNSS数据,并优化权重.
- 为了评估时间转移应用程序的拟议方法的降噪能力.
主要方法:
- 对多个GNSS时间传输数据的权重分配策略的分析.
- 设计和实施一个用于数据融合的联合卡尔曼过器.
- 在卡尔曼波器框架内整合标准偏差分配的权重.
- 使用现实世界多个GNSS测量数据测试方法.
主要成果:
- 拟议的联合卡尔曼波器有效地融合了多个GNSS测量结果.
- 标准偏差分配的权重优化了不同GNSS来源的贡献.
- 该方法成功地将时间转移中的噪声水平降低到250比秒以下,用于短的平均时间.
- 与以前的方法相比,短期稳定性显著改善.
结论:
- 联合的卡尔曼波器与标准偏差分配的权重为多个GNSS的时间传输提供了一种卓越的方法.
- 这种技术通过最小化噪音来提高时间传输的可靠性和短期稳定性.
- 这些发现为实现全球计时和同步的更高精度提供了一条途径.
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