Influence of Ionospheric Irregularities on GNSS Remote Sensing

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...

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Main Author: M. V. Tinin
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2015/532015
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author M. V. Tinin
author_facet M. V. Tinin
author_sort M. V. Tinin
collection DOAJ
description 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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spelling doaj-art-22220cd723c14b2e83ed340a4e302c742025-08-20T02:04:06ZengWileyAdvances in Meteorology1687-93091687-93172015-01-01201510.1155/2015/532015532015Influence of Ionospheric Irregularities on GNSS Remote SensingM. V. Tinin0Institute of Solar-Terrestrial Physics SD RAS, P.O. Box 4026, Irkutsk 664033, RussiaWe 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).http://dx.doi.org/10.1155/2015/532015
spellingShingle M. V. Tinin
Influence of Ionospheric Irregularities on GNSS Remote Sensing
Advances in Meteorology
title Influence of Ionospheric Irregularities on GNSS Remote Sensing
title_full Influence of Ionospheric Irregularities on GNSS Remote Sensing
title_fullStr Influence of Ionospheric Irregularities on GNSS Remote Sensing
title_full_unstemmed Influence of Ionospheric Irregularities on GNSS Remote Sensing
title_short Influence of Ionospheric Irregularities on GNSS Remote Sensing
title_sort influence of ionospheric irregularities on gnss remote sensing
url http://dx.doi.org/10.1155/2015/532015
work_keys_str_mv AT mvtinin influenceofionosphericirregularitiesongnssremotesensing