Parameter estimation for synthetic TEC surfaces by using Particle Swarm Optimization [Senteti̇k tei̇ yüzeyleri̇ i̇çi̇n parçacik sürü opti̇mi̇zasyonu i̇le parametre kesti̇ri̇mi̇]
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28189
In this study, parameter estimation is made for global ionospheric Total Electron Content (TEC) on both noiseless and noisy synthetic surfaces by using modified Particle Swarm Optimization (PSO). In addition, the improvements made in the PSO algorithm to obtain better results are presented. Trend functions that best regionally and globally represent the quiet and distorted ionosphere are given. For noisy trend surfaces, additive white Gaussian noise is added on trend surfaces according to latitude. International GPS System stations (IGS) are used for regional sampling whereas TNPGN-Active stations are used for both regional and global sampling. A brief discussion of PSO and its improvements for modified PSO is provided. Performance and error criterias are determined for the results of noisy and noiseless dual-core Gaussian trend surfaces. © 2012 IEEE.