Local modeling of the ionospheric vertical total electron content (VTEC) using particle filter

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2012

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Aghakarimi, Armin

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Ionosphere modeling is an important field of current studies because of its influences on the propagation of the electromagnetic signals. Among the various methods of obtaining ionospheric information, Global Positioning System (GPS) is the most prominent one because of extensive stations distributed all over the world. There are several studies in the literature related to the modeling of the ionosphere in terms of Total Electron Content (TEC). However, most of these studies investigate the ionosphere in the global and regional scales. On the other hand, complex dynamic of the ionosphere requires further studies in the local structure of the TEC distribution. In this work, Particle filter has been used for the investigation of local character of the ionosphere VTEC. Besides, standard Kalman filter as an effective method for optimal state estimation is applied to the same data sets to compare the corresponding results with results of Particle filter. The comparison shows that Particle filter indicates better performance than the standard Kalman filter especially during the geomagnetic storm. MATLAB© R2011 software has been used for programing all processes and algorithms of the study.

Subject Keywords

Ionospheric electron density., Ionospheric forecasting., Global Positioning System., Estimation theory, Particle filtering., Kalman filtering.

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http://etd.lib.metu.edu.tr/upload/12614867/index.pdf
https://hdl.handle.net/11511/22013

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

A. Aghakarimi, “Local modeling of the ionospheric vertical total electron content (VTEC) using particle filter,” M.S. - Master of Science, Middle East Technical University, 2012.