Abstract
In this paper, a constrained adaptive simultaneous algebraic reconstruction technique (CASART) is presented to obtain high-quality reconstructions from insufficient projections. According to the continuous smoothness of the variations of ionospheric electron density (IED) among neighbouring voxels, Gauss weighted function is introduced to constrain the tomography system in the new method. It can resolve the dependence on the initial values for those voxels without any GPS rays traversing them. Numerical simulation scheme is devised to validate the feasibility of the new algorithm. Some comparisons are made to demonstrate the superiority of the new method. Finally, the actual GPS observations are applied to further validate the feasibility and superiority of the new algorithm.
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Acknowledgements
Special thanks are given to Prof. Libo Liu for providing the ionosonde data. This research is supported by the Hunan Provincial Natural Science Foundation for Distinguished Young Scientists (Grant No. 14JJ1021), National Natural Science Foundation of China (Grant No. 41174001), the Research Project of Chinese Ministry of Education (Grant No. 213028A) and the key project of Hunan Education Department (Grant No. 12A0020).
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DEBAO, W., XIAO, Z., YANGJIN, T. et al. GPS-based ionospheric tomography with a constrained adaptive simultaneous algebraic reconstruction technique. J Earth Syst Sci 124, 283–289 (2015). https://doi.org/10.1007/s12040-015-0542-4
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DOI: https://doi.org/10.1007/s12040-015-0542-4