Eliminating diffraction effects during multi-frequency correction in global navigation satellite systems

Tinin, M. V.

doi:10.1007/s00190-015-0794-4

Cited by 14 publications

(6 citation statements)

References 40 publications

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“…Bearing this in mind, we adopt the definition based on the frequency content and we base this work on some recent literature (see [9]- [11]), which tends to call "ionospheric scintillation" only those phase and amplitude fluctuations due to small-scale irregularities. Those are the most challenging threats to GNSS-based positioning services (see [12], [13]). The scintillation is usually quantified through the amplitude and phase scintillation indices, termed S 4 and σ , respectively [14].…”

mentioning

confidence: 99%

Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

Spogli

Ghobadi

Cicone

et al. 2022

IEEE Geosci. Remote Sensing Lett.

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We aim at contributing to the reliability of the phase scintillation index on Global Navigation Satellite System (GNSS) signals at high-latitude. To the scope, we leverage on a recently introduced detrending scheme based on the signal decomposition provided by the fast iterative filtering (FIF) technique. This detrending scheme has been demonstrated to enable a fine-tuning of the cutoff frequency for phase detrending used in the phase scintillation index definition. In a single case study based on Galileo data taken by a GNSS ionospheric scintillation monitor receiver (ISMR) in Concordia Station (Antarctica), we investigate how to step ahead of the cutoff frequency optimization. We show how the FIF-based detrending allows deriving adaptive cutoff frequencies, whose value changes minute-by-minute. They are found to range between 0.4 and 1.2 Hz. This allows better accounting for diffractive effects in phase scintillation index calculation and provides a GNSS-based estimation of the relative velocity between satellite and ionospheric irregularities.

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mentioning

confidence: 99%

Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

Spogli

Ghobadi

Cicone

et al. 2022

IEEE Geosci. Remote Sensing Lett.

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“…Substituting second Rytov approximation (7)-(11) in (45) yields (for details see [28]) formulas analogous to the above ones. When the virtual screen plane = is in a homogeneous medium between an irregularity and an observer, it is the natural result of using the Kirchhoff formula in determining the field on the plane = from values of this field on the plane = .…”

Section: Eliminating Gnss Measurement Errors Via Fresnel Inversionmentioning

confidence: 84%

“…In this case, the lower bound (so-called inner scale) of the ionospheric turbulent spectrum may be less than the Fresnel radius which varies with the elevation angle in the 200-700 m range (see, e.g., [23]). As a result, in triple-frequency measurements, as compared to dual-frequency ones, only the average error decreases, whereas the random error variance increases [23,28].…”

Section: Introductionmentioning

confidence: 99%

Influence of Ionospheric Irregularities on GNSS Remote Sensing

Tinin

2015

Advances in Meteorology

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We have used numerical simulation to study the effects of ionospheric irregularities on accuracy of global navigation satellite system (GNSS) measurements, using ionosphere-free (in atmospheric research) and geometry-free (in ionospheric research) dual-frequency phase combinations. It is known that elimination of these effects from multifrequency GNSS measurements is handi-capped by diffraction effects during signal propagation through turbulent ionospheric plasma with the inner scale being smaller than the Fresnel radius. We demonstrated the possibility of reducing the residual ionospheric error in dual-frequency GNSS remote sensing in ionosphere-free combination by Fresnel inversion. The inversion parameter, the distance to the virtual screen, may be selected from the minimum of amplitude fluctuations. This suggests the possibility of improving the accuracy of GNSS remote sensing in meteorology. In the study of ionospheric disturbances with the aid of geometry-free combination, the Fresnel inversion eliminates only the third-order error. To eliminate the random TEC component which, like the measured average TEC, is the first-order correction, we should use temporal filtering (averaging).

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“…This results in the filtered phase containing both diffractive and refractive components, which can lead to phenomena such as the so-called "phase without amplitude scintillation" (Forte & Radicella, 2002;Spogli et al, 2009;Prikryl et al, 2013;Jin et al, 2015;McCaffrey & Jayachandran, 2019). This is not a straightforward effect to correct for, and a variety of approaches have been proposed, but there is presently no generally accepted solution (Forte, 2005;Mushini et al, 2012;Tinin, 2015;Ghobadi et al, 2020;Spogli et al, 2022). Since we are interested in seeing fluctuations in phase and amplitude irrespective of the effect (diffractive vs. refractive), we are not applying any advanced filtering criteria to our analysis.…”

Section: Discussionmentioning

confidence: 99%

Observations and modeling of scintillation in the vicinity of a polar cap patch

Lamarche

Deshpande

Zettergren

2022

J. Space Weather Space Clim.

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Small-scale ionospheric plasma structures can cause scintillation in radio signals passing through the ionosphere. The relationship between the scintillated signal and how plasma structuring develops is complex. We model the development of small-scale plasma structuring in and around an idealized polar cap patch observed by the Resolute Bay Incoherent Scatter Radars (RISR) with the Geospace Environment Model for Ion-Neutral Interactions (GEMINI). Then, we simulate a signal passing through the resulting small-scale structuring with the Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) to predict the scintillation characteristics that will be observed by a ground receiver at different stages of instability development. Finally, we compare the predicted signal characteristics with actual observations of scintillation from ground receivers in the vicinity of Resolute Bay. We interpret the results in terms of the nature of the small-scale plasma structuring in the ionosphere and how it impacts signals of different frequencies, and attempt to infer information about the ionospheric plasma irregularity spectrum.

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Eliminating diffraction effects during multi-frequency correction in global navigation satellite systems

Cited by 14 publications

References 40 publications

Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

Influence of Ionospheric Irregularities on GNSS Remote Sensing

Observations and modeling of scintillation in the vicinity of a polar cap patch

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