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Three-dimensional ionospheric tomography by an improved algebraic reconstruction technique
Authors:Debao Wen  Yunbin Yuan  Jikun Ou  Xingliang Huo  Kefei Zhang
Affiliation:(1) Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, 430077, China;(2) Graduate School of Chinese Academy of Sciences, Beijing, 100039, China;(3) School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia
Abstract:An improved algebraic reconstruction technique (IART) is presented for the tomographic reconstruction of ionospheric electron density (IED). This method applies the total electron content (TEC) measurements to invert the spatial distribution of the IED from a set of apriori IED distributions. In this new method, a data-driven adjustment of the relaxation parameter is performed to improve the computation efficiency and image quality of the classical algebraic reconstruction technique (ART). In addition, the new algorithm is also combined with ionospheric space discretization technique to simplify the inversion of IED, and it applies CHAMP occultation data to improve the vertical resolution. A numerical simulation experiment is carried out to validate the reliability of the new method. It is then applied to the inversion of IED from real GPS data. Inverted results show that the IART algorithm has better accuracy and efficiency than the conventional ART algorithm. The reliability of the IART algorithm is also validated by ionosonde data recorded at Wuhan station.
Keywords:GPS  Computerized ionospheric tomography (CIT)  Total electron content (TEC)  Algebraic reconstruction technique (ART)  Ionospheric electron density (IED)
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