Virtual reference station technology for voxels without signal ray in ionospheric tomography based on machine learning

Zheng, Dunyong; Yuan, Peng; Hé, Changyong; Yao, Yibin; Nie, Wenfeng; Lin, Dong; Mengguang, Liao; Xiong, Zhaohui

doi:10.1007/s10291-023-01512-7

GPS Solut

2023

DOI: 10.1007/s10291-023-01512-7

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Virtual reference station technology for voxels without signal ray in ionospheric tomography based on machine learning

Dunyong Zheng

Peng Yuan

Changyong Hé

et al.

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Cited by 3 publications

References 35 publications

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Ionospheric tomography for SWARM satellite orbit determination using single-frequency GNSS data

Prol,

Pignalberi,

Smirnov

et al. 2024

GPS Solut

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Ionospheric tomography offers three-dimensional (3D) description of the electron density distribution, enabling the direct incorporation of electron density data into the slant total electron content (STEC) computation. As a result, STEC derived from tomography helps mitigate the ionospheric delay experienced in the line of sight between global navigation satellite systems (GNSS) and satellites positioned in low Earth orbits (LEO). Tomography can therefore be effectively employed to correct single-frequency GNSS observations and allow enhanced positioning of spaceborne platforms. We demonstrate the accuracy and performance of a global-scale ionospheric tomography method for determining satellite orbits, utilizing single-frequency GNSS measurements combined with a precise point positioning (PPP) algorithm. We compare the tomographic outcomes against orbit determination derived from the GRoup and PHase ionospheric correction (GRAPHIC) observable and based on an ionospheric climatological model. Near the peak of solar cycle 24, the overall accuracy achieved with tomography was around 3.8 m. notably, compared to the background climatological model, tomography demonstrated improvements ranging from 15 to 20%. The GRAPHIC method outperformed tomography, achieving an accuracy of 0.7 m, whereas we obtained around 7 m accuracy when no ionospheric model is employed. Although the developed ionospheric tomography has yet to match the precision of GRAPHIC, our results bring us relatively closer to this objective.

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Ionospheric tomography for SWARM satellite orbit determination using single-frequency GNSS data

Prol,

Pignalberi,

Smirnov

et al. 2024

GPS Solut

View full text Add to dashboard Cite

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Asymmetric Ionospheric Fluctuations Over the Circum‐Pacific Regions Following the January 2022 Tonga Volcanic Eruption

Li,

Zhu,

Feng

et al. 2023

Space Weather

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The Hunga Tonga‐Hunga Ha'apai volcanic eruption on 15 January 2022 had a significant impact on the ionosphere‐thermosphere system, resulting in large‐scale ionospheric irregularities with longitudinal and latitudinal asymmetries. Multiple instruments recorded these irregularities, indicating the propagation of a westward wave at an average velocity of 354 ± 8 m/s, which led to plasma irregularities of 0.2 TECu/min. Conversely, an eastward‐propagating wave was detected on the Pacific's east coast, traveling at a speed of 348 ± 6 m/s, with a corresponding decrease in plasma fluctuations to 0.1 TECu/min. In Asia, noticeable plasma irregularities appeared within a few hours after the eruption, and the maximum speed exceeded 1,100 m/s, which cannot be explained by the acoustic wave model. There was also a significant latitudinal asymmetry of ionospheric disturbances in the Asian‐Oceania sector, with the plasma density around Oceania depleted by 2–3 orders of magnitude within the altitudes of ∼150–575 km, while the ion density over Asia was enhanced by 1–2 orders of magnitude, and was uplifted ∼50 km. The plasma temperature was proportional to ion density, indicating the ion temperature reduced ∼500 K and increased 100–200 K around Oceania and Asia, respectively. The equatorial electric field, vertical E × B drifts and thermospheric O/N2 density ratio also fluctuated significantly following the eruption, indicating the redistribution of charged particles due to the magnetic field mapping effect, which was the main contributor to the asymmetries observed.

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A Noniterative Algorithm for Ionospheric Tomography Reconstruction Based on the Semi-Parametric Model

Luo,

Zhang,

Zheng

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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Virtual reference station technology for voxels without signal ray in ionospheric tomography based on machine learning

Cited by 3 publications

References 35 publications

Ionospheric tomography for SWARM satellite orbit determination using single-frequency GNSS data

Ionospheric tomography for SWARM satellite orbit determination using single-frequency GNSS data

Asymmetric Ionospheric Fluctuations Over the Circum‐Pacific Regions Following the January 2022 Tonga Volcanic Eruption

A Noniterative Algorithm for Ionospheric Tomography Reconstruction Based on the Semi-Parametric Model

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