A Multi-Global Navigation Satellite System (GNSS) Time Transfer Method with Federated Kalman Filter (FKF)

被引：0
|
作者：
Liang, Kun [1 ]
Hao, Shuangyu [1 ]
Yang, Zhiqiang [2 ]
Wang, Jian [1 ]
机构：
[1] Beijing Jiaotong Univ BJTU, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Natl Inst Metrol NIM, Beijing 100029, Peoples R China
来源：
SENSORS | 2023年 / 23卷 / 11期
基金：
国家重点研发计划;
关键词：
GNSS; time transfer; multi-GNSS; data fusion; GLONASS; GPS;
D O I：
10.3390/s23115328
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
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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页数：11
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