Title
A Real-Time Robust Method to Detect BeiDou GEO/IGSO Orbital Maneuvers.
Abstract
The frequent maneuvering of BeiDou Geostationary Orbit (GEO) and Inclined Geosynchronous Orbit (IGSO) satellites affects the availability of real-time orbit, and decreases the accuracy and performance of positioning, navigation and time (PNT) services. BeiDou satellite maneuver information cannot be obtained by common users. BeiDou broadcast ephemeris is the only indicator of the health status of satellites, which are broadcast on an hourly basis, easily leading to ineffective observations. Sometimes, identification errors of satellite abnormity also appear in the broadcast ephemeris. This study presents a real-time robust detection method for a satellite orbital maneuver with high frequency and high reliability. By using the broadcast ephemeris and pseudo-range observations, the time discrimination factor and the satellite identification factor were defined and used for the real-time detection of start time and the pseudo-random noise code (PRN) of satellites was used for orbital maneuvers. Data from a Multi-GNSS Experiment (MGEX) was collected and analyzed. The results show that the start time and the PRN of the satellite orbital maneuver could be detected accurately in real time. In addition, abnormal start times and satellite abnormities caused by non-maneuver factors also could be detected using the proposed method. The new method not only improves the utilization of observations for users with the data effective for about 92 min, but also promotes the reliability of real-time PNT services.
Year
DOI
Venue
2017
10.3390/s17122761
SENSORS
Keywords
Field
DocType
GEO/IGSO,real-time,orbital maneuver,time discrimination,satellite identification
Ephemeris,Orbit,Broadcasting,Satellite,Orbital maneuver,Electronic engineering,Real-time computing,Geosynchronous orbit,Engineering,Start times,Geostationary orbit
Journal
Volume
Issue
ISSN
17
12.0
1424-8220
Citations 
PageRank 
References 
2
0.50
3
Authors
7
Name
Order
Citations
PageRank
Guanwen Huang176.51
Zhiwei Qin231.90
Qin Zhang34713.66
Le Wang46927.72
Xingyuan Yan531.90
Lihong Fan631.21
xiaolei wang7358.29