PMID- 29495638
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20180306
LR  - 20181114
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 18
IP  - 3
DP  - 2018 Feb 28
TI  - An Optimized Method to Detect BDS Satellites' Orbit Maneuvering and Anomalies in 
      Real-Time.
LID - 10.3390/s18030726 [doi]
LID - 726
AB  - The orbital maneuvers of Global Navigation Satellite System (GNSS) Constellations 
      will decrease the performance and accuracy of positioning, navigation, and timing 
      (PNT). Because satellites in the Chinese BeiDou Navigation Satellite System (BDS) 
      are in Geostationary Orbit (GEO) and Inclined Geosynchronous Orbit (IGSO), 
      maneuvers occur more frequently. Also, the precise start moment of the BDS 
      satellites' orbit maneuvering cannot be obtained by common users. This paper 
      presented an improved real-time detecting method for BDS satellites' orbit 
      maneuvering and anomalies with higher timeliness and higher accuracy. The main 
      contributions to this improvement are as follows: (1) instead of the previous 
      two-steps method, a new one-step method with higher accuracy is proposed to 
      determine the start moment and the pseudo random noise code (PRN) of the 
      satellite orbit maneuvering in that time; (2) BDS Medium Earth Orbit (MEO) 
      orbital maneuvers are firstly detected according to the proposed selection 
      strategy for the stations; and (3) the classified non-maneuvering anomalies are 
      detected by a new median robust method using the weak anomaly detection factor 
      and the strong anomaly detection factor. The data from the Multi-GNSS Experiment 
      (MGEX) in 2017 was used for experimental analysis. The experimental results and 
      analysis showed that the start moment of orbital maneuvers and the period of 
      non-maneuver anomalies can be determined more accurately in real-time. When 
      orbital maneuvers and anomalies occur, the proposed method improved the data 
      utilization for 91 and 95 min in 2017.
FAU - Huang, Guanwen
AU  - Huang G
AD  - College of Geology Engineering and Geomantic, Chang'an University, 126 Yanta 
      Road, Xi'an 710054, China. huang830928@chd.edu.cn.
FAU - Qin, Zhiwei
AU  - Qin Z
AD  - College of Geology Engineering and Geomantic, Chang'an University, 126 Yanta 
      Road, Xi'an 710054, China. gnssorbitqzw@chd.edu.cn.
FAU - Zhang, Qin
AU  - Zhang Q
AD  - College of Geology Engineering and Geomantic, Chang'an University, 126 Yanta 
      Road, Xi'an 710054, China. dczhangq@chd.edu.cn.
FAU - Wang, Le
AU  - Wang L
AD  - College of Geology Engineering and Geomantic, Chang'an University, 126 Yanta 
      Road, Xi'an 710054, China. 2014026004@chd.edu.cn.
FAU - Yan, Xingyuan
AU  - Yan X
AD  - College of Geology Engineering and Geomantic, Chang'an University, 126 Yanta 
      Road, Xi'an 710054, China. 2016026025@chd.edu.cn.
FAU - Wang, Xiaolei
AU  - Wang X
AD  - College of Geology Engineering and Geomantic, Chang'an University, 126 Yanta 
      Road, Xi'an 710054, China. 2015026004@chd.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20180228
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC5876699
OTO - NOTNLM
OT  - GEO/IGSO
OT  - MEO
OT  - median robust
OT  - orbital anomaly
OT  - orbital maneuver
OT  - real-time detection
COIS- The authors declare no conflict of interest.
EDAT- 2018/03/03 06:00
MHDA- 2018/03/03 06:01
PMCR- 2018/03/01
CRDT- 2018/03/03 06:00
PHST- 2017/12/29 00:00 [received]
PHST- 2018/02/25 00:00 [revised]
PHST- 2018/02/28 00:00 [accepted]
PHST- 2018/03/03 06:00 [entrez]
PHST- 2018/03/03 06:00 [pubmed]
PHST- 2018/03/03 06:01 [medline]
PHST- 2018/03/01 00:00 [pmc-release]
AID - s18030726 [pii]
AID - sensors-18-00726 [pii]
AID - 10.3390/s18030726 [doi]
PST - epublish
SO  - Sensors (Basel). 2018 Feb 28;18(3):726. doi: 10.3390/s18030726.