Improving the GNSS positioning stochastic model in the presence of ionospheric scintillation

Aquino, Márcio; Monico, J. F. Galera; Dodson, Alan; Marques, Haroldo Antonio; Franceschi, Giorgiana De; Alfonsi, Lucilla; Romano, Vincenzo; Andreotti, Marcus

doi:10.1007/s00190-009-0313-6

Cited by 78 publications

(89 citation statements)

References 14 publications

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“…To mitigate the scintillation impact on positioning, Aquino et al (2009) suggested the computation of different weights derived from the scintillation-sensitive receiver tacking models of Conker et al (2003). This approach has been successfully adopted by Alves da Silva et al (2010): data from the GISTM network in Northern Europe were processed in both relative and point positioning modes showing improvements of the order of 45%-50% in height accuracy when the modified stochastic model is applied under moderate to strong scintillation conditions.…”

Section: Forecasting Ionospheric Behaviourmentioning

confidence: 99%

Monitoring, tracking and forecasting ionospheric perturbations using GNSS techniques

Jakowski

Béniguel

Franceschi

et al. 2012

J. Space Weather Space Clim.

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The paper reviews the current state of GNSS-based detection, monitoring and forecasting of ionospheric perturbations in Europe in relation to the COST action ES0803 ''Developing Space Weather Products and Services in Europe''. Space weather research and related ionospheric studies require broad international collaboration in sharing databases, developing analysis software and models and providing services. Reviewed is the European GNSS data basis including ionospheric services providing derived data products such as the Total Electron Content (TEC) and radio scintillation indices. Fundamental ionospheric perturbation phenomena covering quite different scales in time and space are discussed in the light of recent achievements in GNSS-based ionospheric monitoring. Thus, large-scale perturbation processes characterized by moving ionization fronts, wave-like travelling ionospheric disturbances and finally small-scale irregularities causing radio scintillations are considered. Whereas ground and space-based GNSS monitoring techniques are well developed, forecasting of ionospheric perturbations needs much more work to become attractive for users who might be interested in condensed information on the perturbation degree of the ionosphere by robust indices. Finally, we have briefly presented a few samples illustrating the space weather impact on GNSS applications thus encouraging the scientific community to enhance space weather research in upcoming years.

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Section: Forecasting Ionospheric Behaviourmentioning

confidence: 99%

Monitoring, tracking and forecasting ionospheric perturbations using GNSS techniques

Jakowski

Béniguel

Franceschi

et al. 2012

J. Space Weather Space Clim.

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“…The effects of scintillations on the GPS receiver tracking ability, range from a complete loss of lock on the signal (satellite no longer available for positioning purposes), to degradation in the accuracy of the measured satellite -receiver range, which if not de-weighted in the stochastic positioning model, could degrade the accuracy of the computed position [1].…”

Section: Introductionmentioning

confidence: 99%

Using Ordinary Kriging for the Creation of Scintillation Maps

Kieft¹,

Aquino²,

Dodson³

2014

Mitigation of Ionospheric Threats to GNSS: An Appraisal of the Scientific and Technological Outputs of the TRANSMIT Project

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“…The extreme effects of ionospheric disturbances on GPS integrity and availability, such as the loss of lock and smoothing time are evaluated in Seo et al (2011). The receiver can track the satellite during some periods of disturbances but still suffers from a high noise level, and the distribution of the pseudorange noise has non-Gaussian tails (Datta-Barua et al, 2003;Chen et al, 2008;Aquino et al, 2009). That is, the true sigma of noise frequently exceeds the assumed sigma from the noise model.…”

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confidence: 99%

“…Thus the knowledge about the noise level under ionospheric disturbances in history is critical for improving the GPS performance. A previous effort is to use a S4-based stochastic model (Aquino et al, 2009). However, there are two factors that may limit the model from being widely used.…”

mentioning

confidence: 99%

“…However, GPS positioning results can be degraded by error sources such as multipath and propagation errors. To meet the required accuracy and integrity, a stochastic model, which describes the GPS measurement quality, has been applied for weighting measurements in the position solution and estimating bounds on position errors in integrity monitoring systems (Jin and Jong, 1996;Pullen et al, 2002;Lee, 2005;Aquino et al, 2009). Extensive studies have been carried out to derive a suitable stochastic model.…”

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confidence: 99%

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Assessment and Mitigation of Ionospheric Disturbance Effects on GPS Accuracy and Integrity

Weng

Chen

et al. 2014

J. Navigation

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Ionospheric disturbances affect Global Positioning System (GPS) performance in terms of accuracy and integrity, especially over the equatorial region. During the period of the disturbances, GPS receivers suffer from a high noise level. Not taken into account by the current stochastic model, the ionospheric disturbances degrade GPS positioning accuracy. In addition, non-Gaussian tails are observed in the distribution of the noise during the period of the disturbances; therefore the integrity of GPS can also be affected. This paper develops a statistical solution that is able to mitigate effects of ionospheric disturbances on GPS accuracy and integrity using a commercial dual frequency receiver. The Rate of Total Electron Content (TEC) change Index (ROTI), a parameter derived from the dual frequency receiver, is used to group the levels of ionospheric disturbances. The standard deviations of the pseudorange noise under different groups are evaluated. By incorporating both the ROTI and the satellite elevation, a modified stochastic model is proposed to reduce the effect of the disturbed observation on the positioning accuracy. The performance of the model is evaluated by a test and an inflated sigma for each group is recommended for over-bounding anomalies of observations to protect the user against threats from ionospheric disturbances. This technique, together with results in this paper, can be applied to mitigate the effects of ionospheric disturbances on GPS.K E Y WO R D S

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Improving the GNSS positioning stochastic model in the presence of ionospheric scintillation

Cited by 78 publications

References 14 publications

Monitoring, tracking and forecasting ionospheric perturbations using GNSS techniques

Monitoring, tracking and forecasting ionospheric perturbations using GNSS techniques

Using Ordinary Kriging for the Creation of Scintillation Maps

Assessment and Mitigation of Ionospheric Disturbance Effects on GPS Accuracy and Integrity

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