A hybrid reconstruction algorithm for computerized ionospheric tomography

Date
2005
Advisor
Instructor
Source Title
Proceedings of the 2nd International Conference on Recent Advances in Space Technologies, RAST 2005
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
2005
Issue
Pages
782 - 787
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract

Computerized Ionospheric Tomography (CIT) is a method to reconstruct ionospheric electron density images by using the Global Positioning System data collected by the earth based receivers. In this study, Total Electron Content values obtained from a model based ionosphere and tomographic reconstruction techniques are used together to obtain ionospheric electron density distribution. Algebraic Reconstruction Technique (ART) is one of the most commonly used reconstruction method in medical tomography due to its simplicity in implementation. The performance of ART is independent of basis functions and very sensitive to the initial state. Total Least Squares (TLS) algorithm assumes no regularization and produces the lowest error for Haar basis for a given Latitude interval. The performance of TLS is improved with the number of receivers. If only one receiver is used, TLS algorithm together with Haar basis functions produces a low computational complexity and has a lower reconstruction error compared to Regularized Least Squares Algorithm, When the estimation by TLS is input as the initial state of ART, the overall reconstruction error reduces significantly compared to the reconstruction error of ART only or TLS with Haar basis only.

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Book Title
Keywords
Algorithms, Carrier concentration, Computerized tomography, Error analysis, Global positioning system, Algebraic Reconstruction Technique (ART), Computerized Ionospheric Tomography (CIT), Reconstruction errors, Tomographic reconstruction, Total Least Squares (TLS) algorithms, Ionosphere
Citation
Published Version (Please cite this version)