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      3D electron density estimation in the ionosphere

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      Author(s)
      Tuna, Hakan
      Arıkan, Orhan
      Arıkan, F.
      Date
      2014
      Source Title
      Proceedings of the 22nd Signal Processing and Communications Applications Conference, SIU 2014
      Print ISSN
      2165-0608
      Publisher
      IEEE
      Pages
      529 - 532
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Ionosphere has ion distribution which is variable in space and time. There have been physical and empirical studies for modeling the ionosphere. International Reference Ionosphere extended to Plasmasphere (IRI-Plas) is the most recent model developed for this purpose. However, IRI-Plas presents a model about the ionosphere and its compliance with the instantaneous state of the ionosphere does not provide the accuracy needed for engineering purposes. One of the important information sources about the instantaneous state of the ionosphere is GPS signals. In this study, constructing the ionosphere which is compatible with both the instantaneous ionosphere measurements and the physical structure of the ionosphere is presented as an optimization problem, and solved by using the particle swarm optimization technique. The ionosphere over Turkey is investigated by using the proposed optimization method and the importance of the instantaneous ionosphere measurements obtained from GPS signals is demonstrated.
      Keywords
      3D electron density estimation
      Ionosphere
      Carrier concentration
      Electron density measurement
      Ionospheric measurement
      Magnetosphere
      Particle swarm optimization (PSO)
      Signal processing
      International reference ionospheres
      IRI-Plas
      Optimization method
      Optimization problems
      Particle swarm optimization technique
      Physical structures
      Permalink
      http://hdl.handle.net/11693/27397
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2014.6830282
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      • Department of Electrical and Electronics Engineering 3868
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