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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      A hybrid reconstruction algorithm for computerized ionospheric tomography

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      Author(s)
      Yavuz, E.
      Arıkan F.
      Arıkan, Orhan
      Date
      2005
      Source Title
      Proceedings of the 2nd International Conference on Recent Advances in Space Technologies, RAST 2005
      Publisher
      IEEE
      Volume
      2005
      Pages
      782 - 787
      Language
      English
      Type
      Conference Paper
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      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.
      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
      Permalink
      http://hdl.handle.net/11693/27327
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/RAST.2005.1512686
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      • Department of Electrical and Electronics Engineering 3702
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