Real-Time Monitoring for BDS Signal-In-Space Anomalies Using Ground Observation Data

Jiang, Hu; Wang, Haitao; Wang, Zemin; Yuan, Yunbin

doi:10.3390/s18061816

Cited by 9 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the optimized method, 32/13/1 orbital maneuvers and 102/13/12 non-maneuvering anomalies are detected for the GEO/IGSO/Medium Earth Orbit (MEO) satellites from day-of-year (DOY) 1 to 300 in 2017. As opposed to the single station experiment in Huang’s contribution, Jiang et al [13] applied 13 MGEX stations over the Asia–Pacific region to detect BDS-2 satellite anomalies. A total of 35 BDS-2 anomalies were detected from DOY 305 to 361 in 2015.…”

Section: Introductionmentioning

confidence: 99%

Six-Year BDS-2 Broadcast Navigation Message Analysis from 2013 to 2018: Availability, Anomaly, and SIS UREs Assessment

Ouyang

Shi

Shen

et al. 2019

Sensors

View full text Add to dashboard Cite

The second-generation of the Beidou Navigation Satellite System (BDS-2) has been officially providing positioning, navigation, and timing (PNT) services within the Asia–Pacific region for six years, starting from 2013. A comprehensive analysis of BDS-2 satellite broadcast navigation message performance during the past six years is highly demanded, not only for the regional service but also for the global service announced in December 2018. Therefore, this study focuses on the performance assessment of six-year BDS-2 broadcast navigation messages from 2013 to 2018 in three aspects: Message availability, anomaly detection, and signal-in-space user range errors (SIS UREs). Firstly, our results, based on International GNSS service (IGS) Multi-GNSS Experiment (MGEX) navigation files, indicate that the BDS-2 Geosynchronous Earth Orbit (GEO) and Inclined Geosynchronous Satellite Orbit (IGSO) satellites have >98.51% broadcast navigation message availability, and the Medium Earth Orbit (MEO) satellites has a ~90.03% availability. Secondly, the comparison between broadcast navigation messages and IGS precise products reveals that the User Range Accuracy Index (URAI) contained in the broadcast message could not reflect satellite performance correctly. Another satellite status indicator, space vehicle (SV) health, can only partially detect a satellite anomaly. The anomaly detection result using IGS precise products for reference shows 20241 anomalies out of 651038 broadcast navigation messages within six years. Finally, compared with the IGSO and MEO satellites, the orbit qualities of GEO satellites are significantly worse due to their large along-track orbit error. The clock performance of all satellites are at the comparable level. The satellite orbit type (GEO/IGSO/MEO) does not impact the orbit-only URE, global-average URE, and worst-case URE.

show abstract

Section: Introductionmentioning

confidence: 99%

Six-Year BDS-2 Broadcast Navigation Message Analysis from 2013 to 2018: Availability, Anomaly, and SIS UREs Assessment

Ouyang

Shi

Shen

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…For BeiDou satellites, the URA index transmitted by the broadcast ephemeris has been constant, even in the case of satellite failure [13, 14]. Additionally, the specific definition of the corresponding SIS accuracy identification parameter is also not given in the Interface Control Document file [15].…”

Section: Introductionmentioning

confidence: 99%

Real‐time BDS signal‐in‐space anomaly detection method considering receiver anomalies

Fan

Zhang

et al. 2019

IET Radar, Sonar & Navigation

View full text Add to dashboard Cite

“…Heng and Gunning optimized the GPS and GLObal NAvigation Satellite System (GLONASS) SIS anomaly detection method by combining the post and real-time estimation methods of SISURE [2,9,10,11,12,13]. Jiang proposed a method to predict the real-time trend of BDS SISURE and optimized the threshold of SISURE anomaly detection based on trend-eliminating SISURE [14]. At present, the real-time estimation method of SISURE is mainly based on either code observation or the smoothed code.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Detection Method for BDS Signal in Space Anomalies

Cheng

Zhao

et al. 2019

Sensors

View full text Add to dashboard Cite

Signal In Space (SIS) anomalies in satellite navigation systems can degrade satellite-based navigation and positioning performance. The occurrence of SIS anomalies from the BeiDou navigation satellite System (BDS) may be more frequent than for the Global Positioning System (GPS). In order to guarantee the integrity of BDS users, detecting and excluding SIS anomalies is indispensable. The traditional method through the comparison between the final precision ephemeris and the broadcast ephemeris is limited by the issue of long latency of precision ephemeris release. Through the statistical characteristics analysis of Signal In Space User Range Error (SISURE), we propose a real-time Instantaneous SISURE (IURE) estimation method by using the Kalman filtering-based carrier-smoothed-code to detect and exclude BDS SIS anomalies, in which the threshold for BDS IURE anomaly detection are obtained from the integrity requirement. The experimental results based on 1 Hz data from ground observations show that the proposed method has an estimation accuracy of 1.1 m for BDS IURE. The test results show that the proposed method can effectively detect the SIS anomalies caused by either orbit faults or clock faults.

show abstract

Real-Time Monitoring for BDS Signal-In-Space Anomalies Using Ground Observation Data

Cited by 9 publications

References 20 publications

Six-Year BDS-2 Broadcast Navigation Message Analysis from 2013 to 2018: Availability, Anomaly, and SIS UREs Assessment

Six-Year BDS-2 Broadcast Navigation Message Analysis from 2013 to 2018: Availability, Anomaly, and SIS UREs Assessment

Real‐time BDS signal‐in‐space anomaly detection method considering receiver anomalies

A Real-Time Detection Method for BDS Signal in Space Anomalies

Contact Info

Product

Resources

About