Assessing the Positioning Performance Under the Effects of Strong Ionospheric Anomalies With Multi‐GNSS in Hong Kong

Lü, Yuanyuan; Wang, Zhenjie; Ji, Shengyue; Chen, Wu

doi:10.1029/2019rs007004

Cited by 15 publications

(14 citation statements)

References 57 publications

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“…Another study by Lu et al. (2020) have assessed positioning performance with multiGNSS including effects of scintillation events.…”

Section: Discussionmentioning

confidence: 99%

“…However, analyzing data of three CIGALA/CALIBRA network stations in Brazil, precision achieved in kinematic-PPP was reported to be better with integrated GPS and GLONASS data, compared to GPS data alone (Marques et al, 2018). Another study by Lu et al (2020) have assessed positioning performance with multiGNSS including effects of scintillation events.…”

Section: Discussionmentioning

confidence: 99%

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Impact of Low‐Latitude Ionospheric Effects on Precise Position Determination

2022

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The ever-increasing dependence on Global Positioning System (GPS) signals for applications based on communication and navigation has put more stringent demands for position determination with highest level of achievable accuracy. Satellite signals are commonly subject to propagation effects introduced by the medium of propagation that result in receiver position errors. One major source of error in the GPS signal results from group delay/carrier phase advance introduced by the Total Electron Content (TEC) present in the ionosphere along the ray path of the signal (Basu et al., 1999;DasGupta et al., 2004). Variation in TEC values could depend on a number of parameters like solar activity (predominant source of variability), local time, season, and geomagnetic conditions (Aarons, 1982;Carrano et al., 2012). In addition, location plays an important role as some of the highest values of TEC are observed in equatorial and low-latitude regions (Aarons, 1982;DasGupta et al., 2006). Therefore, due to the influence of these effects, the positional accuracy of a receiver can be critically compromised, especially in equatorial region (Paul et al., 2017). While arriving at a position solution, stand-alone single frequency receivers rely upon model-based ionospheric error correction, whereas dual-frequency receivers are at advantage of removing the first order ionospheric delay effects, using direct TEC measurement. Therefore, ionospheric effects can be dominant for single-frequency stand-alone GPS receiver and relatively less for dual-frequency receiver and Differential Global Positioning System (DGPS). The ionospheric error budget is measured to reduce from 4 m for single frequency receivers to 1 m for dual-frequency receivers (Spilker et al., 1996). Previous reports by Skone and Shrestha (2002) reveal that the position determined by DGPS was degraded up to 25-30 m, at a location near equatorial anomaly in Brazil, during a high solar activity period of 1999-2000. Positioning error by a single frequency GPS receiver has been reported to be tens of meters during intense scintillation periods in Thailand (Dubey et al., 2006).The ionosphere being a dispersive medium, group delay (carrier phase advance) of a radio signal, is a function of the frequency (f) of operation (

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“…Another study by Lu et al. (2020) have assessed positioning performance with multiGNSS including effects of scintillation events.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Impact of Low‐Latitude Ionospheric Effects on Precise Position Determination

2022

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“…As the change rate of ionospheric delay is variable with the site and the epoch, it is difficult to precisely model it. Furthermore, the change rate of ionospheric delay is easily influenced by space weather, its value would be very high and most of the ionosphere models also perform badly during high solar activity period [ 31 ]. While for dual-frequency satellite receivers (L1/L2, i.e., 1227.60 MHz), the IF combination can be formed to minimize the ionospheric delay.…”

Section: Time-relative Positioning Algorithm Based On Tdcp Measurementioning

confidence: 99%

An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data

Lü

et al. 2020

Sensors

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The high precision positioning can be easily achieved by using real-time kinematic (RTK) and precise point positioning (PPP) or their augmented techniques, such as network RTK (NRTK) and PPP-RTK, even if they also have their own shortfalls. A reference station and datalink are required for RTK or NRTK. Though the PPP technique can provide high accuracy position data, it needs an initialisation time of 10–30 min. The time-relative positioning method estimates the difference between positions at two epochs by means of a single receiver, which can overcome these issues within short period to some degree. The positioning error significantly increases for long-period precise positioning as consequence of the variation of various errors in GNSS (Global Navigation Satellite System) measurements over time. Furthermore, the accuracy of traditional time-relative positioning is very sensitive to the initial positioning error. In order to overcome these issues, an improved time-relative positioning algorithm is proposed in this paper. The improved time-relative positioning method employs PPP model to estimate the parameters of current epoch including position vector, float ionosphere-free (IF) ambiguities, so that these estimated float IF ambiguities are used as a constraint of the base epoch. Thus, the position of the base epoch can be estimated by means of a robust Kalman filter, so that the position of the current epoch with reference to the base epoch can be obtained by differencing the position vectors between the base epoch and the current one. The numerical results obtained during static and dynamic tests show that the proposed positioning algorithm can achieve a positioning accuracy of a few centimetres in one hour. As expected, the positioning accuracy is highly improved by combining GPS, BeiDou and Galileo as a consequence of a higher amount of used satellites and a more uniform geometrical distribution of the satellites themselves. Furthermore, the positioning accuracy achieved by using the positioning algorithm here described is not affected by the initial positioning error, because there is no approximation similar to that of the traditional time-relative positioning. The improved time-relative positioning method can be used to provide long-period high precision positioning by using a single dual-frequency (L1/L2) satellite receiver.

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“…Although many studies have reported the adverse effects of geomagnetic storm on GNSS, few papers sought ways to mitigate these effects on GNSS precise positioning (Lu et al., 2020; Rodríguez‐Bilbao et al., 2015). Since the number of cycle slip increases in storm conditions, correctly detecting or even repairing cycle slips should be the effective solution to improve GNSS PPP or RTK performance during storm periods.…”

Section: Introductionmentioning

confidence: 99%

“…After that, Lu et al. (2020) reported the multi‐GNSS PPP results during the St. Patrick's Day geomagnetic storm in 2015. Results suggested that, due to the storm effects, both GNSS signal‐to‐noise ratio and multipath observations are changed significantly, and the results of GNSS PPP are systematically deviated.…”

Section: Introductionmentioning

confidence: 99%

A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning

Luo

Lou

et al. 2022

Space Weather

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When solar events such as solar flare, coronal mass ejection, and coronal hole high-speed flow occur, the highspeed plasma clouds ejected from the sun surface will propagate into Earth's space through the interplanetary space, press the magnetosphere and inject abundant solar wind energy into Earth's magnetosphere, resulting in geomagnetic field disturbance. This phenomenon is referred as to geomagnetic storm (Gonzalez et al., 1994). According to the minimum value of 𝐴𝐴 Dst index, the geomagnetic storm is generally classified as four different intensity levels as weak geomagnetic storm (−50 < 𝐴𝐴 Dstmin ≤ −30 nT), moderate storm (−100 < 𝐴𝐴 Dstmin ≤ −50 nT), strong storm (−200 < 𝐴𝐴 Dstmin ≤ −100 nT), severe storm (−350 < 𝐴𝐴 Dstmin ≤ −200 nT) and great storm ( 𝐴𝐴 Dstmin ≤ −350 nT; Loewe & Prölss, 1997).Under geomagnetic storm, the rapid penetration of magnetospheric electric field can lead to the sharp increase of ionospheric total electron content (TEC) as well as the irregular variations of ionospheric TEC, thus affecting the performance of precise positioning of Global Navigation Satellite System (GNSS; Astafyeva et al., 2014;

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Assessing the Positioning Performance Under the Effects of Strong Ionospheric Anomalies With Multi‐GNSS in Hong Kong

Cited by 15 publications

References 57 publications

Impact of Low‐Latitude Ionospheric Effects on Precise Position Determination

Impact of Low‐Latitude Ionospheric Effects on Precise Position Determination

An Improved Long-Period Precise Time-Relative Positioning Method Based on RTS Data

A Method to Mitigate the Effects of Strong Geomagnetic Storm on GNSS Precise Point Positioning

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