全球导航卫星系统应用
卫星系统
卡尔曼滤波器
计算机科学
全球导航卫星系统增强
加权
标准差
遥感
卫星
卫星导航
全球定位系统
实时计算
工程类
电信
地理
数学
人工智能
统计
航空航天工程
物理
声学
作者
Kun Liang,Shuangyu Hao,Zhiqiang Yang,Jian Wang
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2023-06-04
卷期号:23 (11): 5328-5328
被引量:3
摘要
Relative to single Global Navigation Satellite System (GNSS) measurements, i.e., the measurements from a single GNSS system, a single GNSS code, and a single GNSS receiver, multi-GNSS measurements for time transfer could improve reliability and provide better short-term stability. Previous studies applied equal weighting to different GNSS systems or different GNSS time transfer receivers, which, to some extent, revealed the improvement in the additional short-term stability from the combination of two or more kinds of GNSS measurements. In this study, the effects of the different weight allocation for multi-measurements of GNSS time transfer were analyzed, and a federated Kalman filter was designed and applied to fuse multi-GNSS measurements combined with the standard-deviation-allocated weight. Tests with real data showed that the proposed approach can reduce the noise level to well below about 250 ps for short averaging times.
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