Analysis of the ionospheric scintillations during 20–21 January 2016 from SANAE by means of the DemoGRAPE scintillation receivers

Cilliers, Pierre J.; Alfonsi, Lucilla; Spogli, Luca; Franceschi, Giorgiana De; Romano, Vincenzo; Hunstad, I.; Linty, Nicola; Teizo, O.; Dovis, Fabio; Ward, J.; Cesaroni, Claudio; Stephenson, J. A. E.

doi:10.23919/ursigass.2017.8105114

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Very often, the interhemispheric asymmetries are attributed to the magnetic anomaly in the SH and a significantly larger shift in the location of the geomagnetic pole from the geographical pole in the SH as compared to the NH (Laundal et al., 2017). As the instrument network in Antarctica is still very sparse, there are much fewer climatological studies in the high‐latitude SH (Alfonsi et al., 2011; Cilliers et al., 2017; Deshpande et al., 2012; Kim et al., 2014; Kinrade et al., 2012; G. Li et al., 2010; Ngwira et al., 2010; Priyadarshi et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Case Studies of Ionospheric Plasma Irregularities Over Queen Maud Land, Antarctica

2021

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The variability of ionospheric plasma in the polar regions is strongly related to complex coupling between the ionosphere and magnetosphere (Kamide & Baumjohann, 1993). Physical processes in the ionosphere such as plasma instabilities and turbulence can result in plasma structuring and irregularities at various scales. Such irregularities can in turn impact the propagation of trans-ionospheric radio waves through diffractive and refractive processes, and consequently lead to scintillations in the phase and amplitude of the received wave. Hence, the quality of services relying on radio signals, such as the Global Navigation Satellite Systems (GNSS) can be reduced. On the other hand, while monitoring such signals, one can infer the state of the ionosphere, and with supporting data, associate the plasma irregularities with physical processes in the ionosphere.A common approach to ionospheric scintillations is the phase screen model, which assumes a thin layer of irregularities that acts as a phase screen, where the wave propagation is disturbed by the Huygens principle. As the wave propagates further, scintillations can occur both in phase and amplitude (Yeh & Liu, 1982).For spatial scales of irregularities less than the radius of the first-Fresnel zone (r F =  E L , where λ-is the wavelength of the signal and L-is the distance between the receiver and irregularity layer), both phase and amplitude scintillations are present. For the GNSS signals in the L-band, the Fresnel scale at 350 km altitude is ca. 360 m, but note that the effective Fresnel frequency is drift dependent (

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Section: Introductionmentioning

confidence: 99%

Case Studies of Ionospheric Plasma Irregularities Over Queen Maud Land, Antarctica

2021

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“…Examples of SDR implementations for scintillation monitoring are given for instance in [9][10][11]21]. The flexibility granted by this approach eases the implementation of monitoring stations in harsh environments [22,23], and also the design of new signal processing methods for GNSS signal monitoring [15,24,25].…”

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An Open-Loop Receiver Architecture for Monitoring of Ionospheric Scintillations by Means of GNSS Signals

Linty

Dovis

2019

Applied Sciences

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The quality of positioning services based on Global Navigation Satellite Systems (GNSS) is improving at a fast pace, driven by the strict requirements of a plethora of new applications on accuracy, precision and reliability of the services. Nevertheless, ionospheric errors still bound the achievable performance and better mitigation techniques must be devised. In particular, the harmful effect due to non-uniform distribution of the electron density that causes amplitude and phase variation of the GNSS signal, usually named as scintillation effects. For many high-accuracy applications, this is a threat to accuracy and reliability, and the presence of scintillation effect needs to be constantly monitored. To this purpose, traditional receivers employ closed-loop tracking architectures. In this paper, we investigate an alternative architecture and a related metric based on the statistical processing of the received signal, after a code-wipe off and a noise reduction phase. The new metric is based on the analysis of the statistical features of the conditioned signal, and it brings the same information of the S 4 index, normally estimated by means of closed-loop receivers. This new metric can be obtained at a higher rate as well as in the case of strong scintillations when a closed-loop receiver would fail the tracking of the GNSS signals.

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Structure of a station for Ionospheric Scintillation Monitoring and Intermediate-Frequency recording of GNSS signals

Wang,

Guo,

Huang

et al. 2023

2023 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)

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Analysis of the ionospheric scintillations during 20–21 January 2016 from SANAE by means of the DemoGRAPE scintillation receivers

Cited by 3 publications

References 4 publications

Case Studies of Ionospheric Plasma Irregularities Over Queen Maud Land, Antarctica

Case Studies of Ionospheric Plasma Irregularities Over Queen Maud Land, Antarctica

An Open-Loop Receiver Architecture for Monitoring of Ionospheric Scintillations by Means of GNSS Signals

Structure of a station for Ionospheric Scintillation Monitoring and Intermediate-Frequency recording of GNSS signals

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