Title of article :
Improved predictions of equatorial TEC for real time applications Original Research Article
Author/Authors :
Rajat Acharya، نويسنده , , Bijoy Roy، نويسنده , , M.R. Sivaraman، نويسنده , , Ashish Dasgupta، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2012
Abstract :
It is important to use models developed specifically for the equatorial ionospheric estimation for real-time applications, particularly in Satellite Navigation. This work demonstrates a methodology for improved predictions of VTEC in real time using the model developed for the equatorial ionosphere by the authors. This work has been done using TEC data of the low solar activity period of 2005 obtained using dual frequency GPS receivers installed under the GAGAN project of ISRO. For the purpose, the model is first used in conjunction with Kriging technique. Improvement in accuracy is observed when compared with the estimations from the model alone using the measurements as true reference. Further improvement is obtained by Bayesian combination of these estimates with independent Neural Network based predictions. Statistical performance of improvement is provided. An improvement of ∼1 m in confidence level of estimation of VTEC is obtained.
Keywords :
Total electron content , Kriging , ionospheric model , Neural network , Bayesian statistics
Journal title :
Advances in Space Research
Journal title :
Advances in Space Research