Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset
The orbital maneuvers of the global navigation satellite system (GNSSs) have a significant influence on the performance of the precise positioning, navigation, and timing (PNT) services. Because the Chinese BeiDou Navigation Satellite System (BDS) has three types of satellites in the geostationary o...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-08-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/16/4584 |
| _version_ | 1797557973926543360 |
|---|---|
| author | Rui Tu Rui Zhang Lihong Fan Junqiang Han Pengfei Zhang Xiaochun Lu |
| author_facet | Rui Tu Rui Zhang Lihong Fan Junqiang Han Pengfei Zhang Xiaochun Lu |
| author_sort | Rui Tu |
| collection | DOAJ |
| description | The orbital maneuvers of the global navigation satellite system (GNSSs) have a significant influence on the performance of the precise positioning, navigation, and timing (PNT) services. Because the Chinese BeiDou Navigation Satellite System (BDS) has three types of satellites in the geostationary orbit (GEO), inclined geosynchronous orbit (IGSO), and medium earth orbit (MEO) maneuvers occur more frequently. Thus, it is essential to determine an effective approach for the detection of orbital maneuvers. This study proposes a method for the detection of orbital maneuvers using epoch-differenced carrier phase observations and broadcast ephemeris data. When using the epoch-differenced velocity estimation as a basic data solution model, the time discrimination and satellite identification factors are defined and used for the real-time detection of the beginning and the pseudorandom noise code (PRN) of satellites. The datasets from four GNSS stations (WUH1, BJF1, POHN, CUT0) from the year 2016 were collected and analyzed. The validations showed that the beginning, the PRN of the orbital maneuver of the satellite can be precisely detected in real time for all GEO, IGSO, and MEO satellites, and the detected results also showed good consistency, with the beginning time at a difference of 1–2 min across different stations. The proposed approach was observed to be more sensitive, and the detected beginning time was about 30 min earlier than the single point positioning approach when the high-precision carrier phase observation was used. Thus, orbital maneuvering can be accurately detected by the proposed method. It not only improves the utilization of the collected data but also improves the performance of PNT services. |
| first_indexed | 2024-03-10T17:23:49Z |
| format | Article |
| id | doaj.art-d9b1a7df44c243a481d58a1e3884c33e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T17:23:49Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d9b1a7df44c243a481d58a1e3884c33e2023-11-20T10:16:15ZengMDPI AGSensors1424-82202020-08-012016458410.3390/s20164584Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS DatasetRui Tu0Rui Zhang1Lihong Fan2Junqiang Han3Pengfei Zhang4Xiaochun Lu5National Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaNational Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an 710600, ChinaThe orbital maneuvers of the global navigation satellite system (GNSSs) have a significant influence on the performance of the precise positioning, navigation, and timing (PNT) services. Because the Chinese BeiDou Navigation Satellite System (BDS) has three types of satellites in the geostationary orbit (GEO), inclined geosynchronous orbit (IGSO), and medium earth orbit (MEO) maneuvers occur more frequently. Thus, it is essential to determine an effective approach for the detection of orbital maneuvers. This study proposes a method for the detection of orbital maneuvers using epoch-differenced carrier phase observations and broadcast ephemeris data. When using the epoch-differenced velocity estimation as a basic data solution model, the time discrimination and satellite identification factors are defined and used for the real-time detection of the beginning and the pseudorandom noise code (PRN) of satellites. The datasets from four GNSS stations (WUH1, BJF1, POHN, CUT0) from the year 2016 were collected and analyzed. The validations showed that the beginning, the PRN of the orbital maneuver of the satellite can be precisely detected in real time for all GEO, IGSO, and MEO satellites, and the detected results also showed good consistency, with the beginning time at a difference of 1–2 min across different stations. The proposed approach was observed to be more sensitive, and the detected beginning time was about 30 min earlier than the single point positioning approach when the high-precision carrier phase observation was used. Thus, orbital maneuvering can be accurately detected by the proposed method. It not only improves the utilization of the collected data but also improves the performance of PNT services.https://www.mdpi.com/1424-8220/20/16/4584BDSorbital maneuverscarrier phase observationvelocity estimationepoch-difference |
| spellingShingle | Rui Tu Rui Zhang Lihong Fan Junqiang Han Pengfei Zhang Xiaochun Lu Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset Sensors BDS orbital maneuvers carrier phase observation velocity estimation epoch-difference |
| title | Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset |
| title_full | Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset |
| title_fullStr | Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset |
| title_full_unstemmed | Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset |
| title_short | Real-Time Detection of Orbital Maneuvers Using Epoch-Differenced Carrier Phase Observations and Broadcast Ephemeris Data: A Case Study of the BDS Dataset |
| title_sort | real time detection of orbital maneuvers using epoch differenced carrier phase observations and broadcast ephemeris data a case study of the bds dataset |
| topic | BDS orbital maneuvers carrier phase observation velocity estimation epoch-difference |
| url | https://www.mdpi.com/1424-8220/20/16/4584 |
| work_keys_str_mv | AT ruitu realtimedetectionoforbitalmaneuversusingepochdifferencedcarrierphaseobservationsandbroadcastephemerisdataacasestudyofthebdsdataset AT ruizhang realtimedetectionoforbitalmaneuversusingepochdifferencedcarrierphaseobservationsandbroadcastephemerisdataacasestudyofthebdsdataset AT lihongfan realtimedetectionoforbitalmaneuversusingepochdifferencedcarrierphaseobservationsandbroadcastephemerisdataacasestudyofthebdsdataset AT junqianghan realtimedetectionoforbitalmaneuversusingepochdifferencedcarrierphaseobservationsandbroadcastephemerisdataacasestudyofthebdsdataset AT pengfeizhang realtimedetectionoforbitalmaneuversusingepochdifferencedcarrierphaseobservationsandbroadcastephemerisdataacasestudyofthebdsdataset AT xiaochunlu realtimedetectionoforbitalmaneuversusingepochdifferencedcarrierphaseobservationsandbroadcastephemerisdataacasestudyofthebdsdataset |