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Modeling the problem of loworbital satellite UVtomography of the ionosphere
Author  Nesterov, I.; Padokhin, A.; Andreeva, E.; Kalashnikova, S.; 
Keywords  
Abstract  The results of modeling the direct and inverse problems of loworbital satellite ultraviolet (UV) tomography of the ionospheric 135.6 OI volume emission rate are presented. The direct problem was solved with the orbital geometry of DMSP block 5D3 satellites with SSUSI and SSULI UV spectrographs among the other payloads, the real operating parameters of these instruments (the scan rate and the interval of scan angles), and the set of the model distributions of the volume emission rate that contain irregularities on various scales. The solution of the direct problem yields the radiation intensities in the 135.6 nm line, which is used as the input data for reconstructing the initial (prototype) model distributions of the volume emission rates. The obtained system of linear equations (SLE) was solved using the Algebraic Reconstruction Technique (ART) and Simultaneous Iterative Reconstructive Technique (SIRT) algorithms, which are highly efficient in problems of the loworbit radio tomography of the ionosphere. It is shown that the initial model distribution can be successively reconstructed if one takes the nonnegativity condition of the solution into account, uses weighting functions to decrease the solution in the regions where it is known to be a priori small, and applies interiteration smoothing to eliminate the effects of the approximation errors. Here, the averaging parameters should decrease in the course of the iterations. With these constraints fulfilled, the computational costs of the ART and SIRTbased solutions are similar, while the reconstruction error is approximately 6\%. The influence of random errors and bias in the data on the results of the reconstruction is explored. It is shown that with a given error level of the initial data the parameters of the reconstruction algorithms can be adjusted in such a way as to efficiently suppress the influence of the noise with a relative amplitude of 2\textendash3\% on the solution. 
Year of Publication  2016 
Journal  Moscow University Physics Bulletin 
Volume  71 
Number of Pages  329338 
Section  
Date Published  06/2016 
ISBN  
URL  http://link.springer.com/10.3103/S0027134916030103 
DOI  10.3103/S0027134916030103 