Extending Ionospheric Correction Coverage Area By Using A Neural Network Method
Authors:
- Mingyu KimMKMingyu Kim
- Jeongrae KimJKJeongrae Kim
- 30 March 2016
- journal article
- Published by The Korean Society for Aeronautical & Space Sciences in International Journal of Aeronautical and Space Sciences
- Vol. 17 (1) , 64-72
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- An annual variation analysis of the ionospheric spatial gradient over a regional area for GNSS applicationsAdvances In Space Research, 2014
- Artificial neural network as a model for ionospheric TEC map to serve the single frequency receiverAlexandria Engineering Journal, 2013
- An Evaluation of Interpolation Techniques for Reconstructing Ionospheric TEC MapsIEEE Transactions on Geoscience and Remote Sensing, 2008
- A neural network-based ionospheric model for the auroral zoneJournal of Atmospheric and Solar-Terrestrial Physics, 2007
- Fractional green function for linear time-fractional inhomogeneous partial differential equations in fluid mechanicsJournal of Applied Mathematics and Computing, 2007
- Development of a regional GPS-based ionospheric TEC model for South AfricaAdvances In Space Research, 2007
- ARMA Neural Networks for Predicting DGPS Pseudorange CorrectionJournal of Navigation, 2004
- Regional Ionosphere Mapping with Kriging and Multiquadric MethodsJournal of Global Positioning Systems, 2003
- Biharmonic spline interpolation of GEOS‐3 and SEASAT altimeter dataGeophysical Research Letters, 1987