Multi-GNSS Constellation Anomaly Detection and Performance Monitoring

Gunning, Kazuma; Walter, Todd; Enge, Per

doi:10.33012/2017.15174

Cited by 12 publications

(3 citation statements)

References 7 publications

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“…SIS anomalies (i.e., faults) are mainly caused by incorrect navigation data, orbital maneuvers, abnormal orbital disturbances, clock jumps, clock drifts, and other unusual events (Gunning et al., 2018). SIS faults can potentially lead to large navigation errors and constitute the major threats to navigation safety in aviation applications.…”

Section: Anomalies: Detection and Probability Determinationmentioning

confidence: 99%

Characterizing BDS signal‐in‐space performance from integrity perspective

2021

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The full deployment of China's BeiDou navigation satellite system (BDS) was finalized in June 2020. To support safety‐critical applications, the system must provide assured signal‐in‐space (SIS) performance. As one of the key steps forward for BDS, this paper characterizes the SIS range errors (SISREs) for both the regional (BDS‐2) and the global (BDS‐3) systems from the integrity perspective. Following the safety standards in aviation, a data‐driven SISRE evaluation scheme is presented in this work. This scheme evaluates the overbounding user range accuracy (URA) and the prior fault probability to respectively capture the nominal and anomalous SIS behaviors. By processing the 4.5‐year ephemerides starting from 2016 for BDS‐2 and the recent 1.5‐year data from 2019 for BDS‐3, we preliminarily provide an overall picture of the BDS SIS characteristics and reveal the significant performance variation among different satellites.

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Section: Anomalies: Detection and Probability Determinationmentioning

confidence: 99%

Characterizing BDS signal‐in‐space performance from integrity perspective

2021

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“…The APE describes the average of the UPE for all users, which has been widely used for positioning service performance standard [19]. The MPE, also known as the worst-case of IURE, is often used as the test statistic for fault detection because the most vulnerable user should be protected with the allowable integrity risk [20][21][22][23]. Therefore, the MPE derived from the IURE of the equivalent phase error can be constructed as the test statistic to detect the faults in the correction products.…”

Section: Introductionmentioning

confidence: 99%

Characterizing the fault performance of real-time precise satellite orbit and clock correction products

Huang,

Li,

et al. 2023

Meas. Sci. Technol.

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The a priori fault probability of the real-time precise satellite orbit and clock correction products is the critical parameter for integrity monitoring of precise point positioning (PPP). The traditional fault probability evaluation methods use the worst-case instantaneous user ranging error (IURE) as the conservative test statistic. However, the systematic biases of IURE contained in the worst-case IURE barely affect the PPP accuracy, which will undermine the statistical distribution of test statistic and reduce the sensitivity of fault detection. The fault probability will be estimated over-conservatively for the traditional methods. By clarifying the sources of the systematic biases, a new test statistic is constructed by deliberately removing the systematic biases of IURE originated from satellite orbit and clock errors. One-year Global Positioning System correction products evaluation results have demonstrated that the constructed test statistic follows the Gaussian distribution with the decreased uncertainty and the improved fault detection sensitivity. The real-world data experiments have shown that the a priori probabilities of the satellite fault and the constellation fault are at the order of 10−4 and 10−5 levels, respectively.

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“…Previous papers [1] have described methods of estimating these parameters over long periods and rely heavily on the availability of IGS precise products. However, it has been shown that such precise products are not always available, even during periods where faults have been observed [2] [3]. The goal of IGS analysis centers is accuracy, not necessarily 100% availability, so when anomalous behavior by the satellite is detected, an estimate may not be output.…”

Section: Introductionmentioning

confidence: 99%

SIS Monitoring for ARAIM in the Absence of Precise Clock Estimates

Gunning¹,

Walter²,

Powell³

2019

ION Pacific PNT

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This paper describes methods for constellation monitoring in the absence of external precise clock estimates. Careful characterization of constellation performance is necessary for the use of Advanced RAIM (ARAIM). In particular, the narrow (Psat) and wide (Pconst) fault rates must be determined. However, typical constellation monitoring approaches rely on the comparison between the broadcast ephemeris and precise estimates of the satellite orbit and clock, and these may not always be available. Furthermore, they may only monitor reference signals that will not actually be operationally used. This paper describes a method to independently estimate satellite clock and differential code biases in order to evaluate the ranging performance of GPS and GLONASS for ARAIM. Daily variations in the L1 C/A-L5Q clock and differential code bias are examined and quantified. Finally, GLONASS faults are closely examined using the clock estimation techniques.

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Multi-GNSS Constellation Anomaly Detection and Performance Monitoring

Cited by 12 publications

References 7 publications

Characterizing BDS signal‐in‐space performance from integrity perspective

Characterizing BDS signal‐in‐space performance from integrity perspective

Characterizing the fault performance of real-time precise satellite orbit and clock correction products

SIS Monitoring for ARAIM in the Absence of Precise Clock Estimates

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