A Multifrequency GPS Signal Strong Equatorial Ionospheric Scintillation Simulator: Algorithm, Performance, and Characterization

Jiao, Yu; Xu, Dongyang; Rino, C. L.; Morton, Yu; Carrano, Charles S.

doi:10.1109/taes.2018.2805232

Cited by 18 publications

(18 citation statements)

References 34 publications

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“…The Iterative Parameter Estimation (IPE) method developed by Carrano et al . is used to derive the spectral parameters for −1 < log 10 μ < 0.5 (Figure ) . Table lists the values of all necessary parameters for the scintillation simulation.…”

Section: Resultsmentioning

confidence: 99%

“…The flow chart for the GPS scintillation signal simulator was presented in Jiao et al . and is shown here in Figure with slight modifications. The user input specifies the initial receiver location (latitude, longitude, and height), velocity (east, north, and up), satellite PRN, amplitude scintillation level (S 4 value), and other data parameters (e.g., UTC, carrier frequency, and data duration).…”

Section: Gps Scintillation Signal Simulation Methodology Descriptionmentioning

confidence: 99%

“…The GPS scintillation signal simulator consists of user input, scintillation generator, and GPS IF sample generator. The output of the simulator can be used to test receiver signal processing algorithms and to characterize signal statistics . [Color figure can be viewed at wileyonlinelibrary.com and www.ion.org]…”

Section: Gps Scintillation Signal Simulation Methodology Descriptionmentioning

confidence: 99%

“…Jiao et al . presented the simulator based on the above discussion for stationary receivers typically used for ionosphere monitoring purposes.…”

Section: Gps Scintillation Signal Simulation Methodology Descriptionmentioning

confidence: 99%

“…The calculation of their empirical values can be found in Rino and Jiao et al . . v ky and v kz are defined as :

v_{ky} = v_{dy} - v_{py} + tan θ cos ϕ ((), v_{px} - v_{dx})

v_{kz} = v_{dz} - v_{pz} + tan θ sin ϕ ((), v_{px} - v_{dx})

where v d = [ v dx , v dy , v dz ] is the plasma structure drift velocity ( z is geomagnetic southward), v p = [ v px , v py , v pz ] is the IPP velocity, θ is the angle between the signal propagation direction and the downward axis, and ϕ is the propagation vector azimuth angle from the geomagnetic eastward axis .…”

Section: Propagation Geometrymentioning

confidence: 99%

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Ionospheric Scintillation Simulation on Equatorial GPS Signals for Dynamic Platforms

2018

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This paper presents a physics-based, data-consistent, multifrequency GPS scintillation signal simulator for dynamic platforms in the equatorial region. This simulator is based on a two-dimensional twocomponent power-law phase screen model which is described by a compact set of parameters. The time scale factor is mainly investigated in this paper, which determines the decorrelation time of the simulation signal and is affected by various factors including propagation geometry, irregularity drift velocity, and dynamics of the platform. The comparison between the initialization and simulation data for stationary receivers shows the effectiveness of the simulator. In addition, this paper examines the influence of the platform dynamics on simulation signals with respect to the geomagnetic field direction and the irregularity drift velocity. The simulator presented in this paper will provide a viable tool for dynamic GPS scintillation signal simulation and will aid the design for robust receiver processing algorithms during scintillation for dynamic platforms. #

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Section: Resultsmentioning

confidence: 99%

Section: Gps Scintillation Signal Simulation Methodology Descriptionmentioning

confidence: 99%

Section: Gps Scintillation Signal Simulation Methodology Descriptionmentioning

confidence: 99%

“…Jiao et al . presented the simulator based on the above discussion for stationary receivers typically used for ionosphere monitoring purposes.…”

Section: Gps Scintillation Signal Simulation Methodology Descriptionmentioning

confidence: 99%

“…The calculation of their empirical values can be found in Rino and Jiao et al . . v ky and v kz are defined as :

v_{ky} = v_{dy} - v_{py} + tan θ cos ϕ ((), v_{px} - v_{dx})

v_{kz} = v_{dz} - v_{pz} + tan θ sin ϕ ((), v_{px} - v_{dx})

Section: Propagation Geometrymentioning

confidence: 99%

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Ionospheric Scintillation Simulation on Equatorial GPS Signals for Dynamic Platforms

2018

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A compact multi‐frequency GNSS scintillation model

et al. 2018

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We present a scintillation model that generates complex scintillation realizations using two‐dimensional phase‐screen calculations. A compact parameter set simplifies the model. The parameters can be adjusted to reproduce statistically equivalent realizations of target multi‐frequency GNSS intensity and phase scintillation time series or defaulted to representative values. Geometric range and TEC inputs can be incorporated to generate realizations of baseband GNSS signals for processor performance evaluation. Selecting model parameters is guided by an efficient encapsulation of the two‐dimensional phase‐screen theory. Motion of the propagation path through ionospheric structure generates temporal variation. The phase‐screen theory incorporates space‐to‐time conversion via a ratio of the Fresnel scale to an effective scan velocity. A universal strength parameter adjusts the strength of the scintillation. The model is an encapsulation of results that have been used for GPS performance analysis work that is cited in the paper. A MATLAB implementation of the model with examples has been made available.

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Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

et al. 2020

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Ionospheric scintillation is the physical phenomena affecting radio waves coming from the space through the ionosphere. Such disturbance is caused by ionospheric electron‐density irregularities and is a major threat in Global Navigation Satellite Systems (GNSS). From a signal‐processing perspective, scintillation is one of the most challenging propagation scenarios, particularly affecting high‐precision GNSS receivers and safety critical applications where accuracy, availability, continuity, and integrity are mandatory. Under scintillation, GNSS signals are affected by amplitude and phase variations, which mainly compromise the synchronization stage of the receiver. To counteract these effects, one must resort to advanced signal‐processing techniques such as adaptive/robust methods, machine learning, or parameter estimation. This contribution reviews the signal‐processing landscape in GNSS receivers, with emphasis on different detection, monitoring, and mitigation problems. New results using real data are provided to support the discussion. To conclude, future perspectives of interest to the GNSS community are discussed.

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A Multifrequency GPS Signal Strong Equatorial Ionospheric Scintillation Simulator: Algorithm, Performance, and Characterization

Cited by 18 publications

References 34 publications

Ionospheric Scintillation Simulation on Equatorial GPS Signals for Dynamic Platforms

Ionospheric Scintillation Simulation on Equatorial GPS Signals for Dynamic Platforms

A compact multi‐frequency GNSS scintillation model

Survey on signal processing for GNSS under ionospheric scintillation: Detection, monitoring, and mitigation

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