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

被引：1

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.

引用

页数：11

共 50 条

[41] A Simultaneous Localization and Mapping System Using the Iterative Error State Kalman Filter Judgment Algorithm for Global Navigation Satellite System
You, Bo
Zhong, Guangjin
Chen, Chen
Li, Jiayu
Ma, Ersi
SENSORS, 2023, 23 (13)
[42] Towards the future air navigation system: Global Navigation Satellite Systems (GNSS) for multimodal applications
Lechner, W
SPACE COMMUNICATIONS, 1995, 13 (02) : 95 - 95
[43] Multi-person cooperative positioning of forest rescuers based on inertial navigation system (INS), global navigation satellite system (GNSS), and ZigBee
Ji, Miaoxin
Ren, Guihui
Liu, Jianjuan
Xu, Qiangwei
Ren, Renhao
MEASUREMENT, 2025, 241
[44] Observability Analysis and Navigation Filter Optimization of High-Orbit Satellite Navigation System Based on GNSS
Xiao, Yaqi
Zhou, Xuanying
Wang, Jiongqi
He, Zhangming
Zhou, Haiyin
APPLIED SCIENCES-BASEL, 2020, 10 (21): : 1 - 17
[45] Reliable integrated navigation system based on adaptive fuzzy federated Kalman filter for automated vehicles
Li, Xu
Zhang, Weigong
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2010, 224 (D3) : 327 - 346
[46] INS/MPS/LiDAR Integrated Navigation System Using Federated Kalman Filter in an Indoor Environment
Lee, Taehoon
Lee, Byungjin
Yun, Jaehyun
Sung, Sangkyung
2023 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM, PLANS, 2023, : 160 - 166
[47] Mahalanobis distance based Federated Kalman filter for SINS/SRS/CNS integrated navigation system
Gao S.
Hong G.
Gao G.
Gao B.
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2021, 29 (02): : 141 - 146
[48] Application of a new developed adaptive federated Kalman filter in tactical missile integrated navigation system
Liu, Ying
Tian, Wei-Feng
Zhao, Jian-Kang
Bao, Qi-Lian
Zhu, Shi-Qing
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2012, 20 (05): : 577 - 582
[49] Analysis of Different Global Navigation Satellite Systems in Time Transfer
Hamza, Gihan C.
IEEE COMMUNICATIONS MAGAZINE, 2022, 60 (02) : 67 - 72
[50] The role of Global Navigation Satellite System (GNSS) software radios in embedded systems
Dennis M. Akos
GPS Solutions, 2003, 7 (1) : 1 - 4

← 1 2 3 4 5 →