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Two‐dimensional ionospheric tomography over the low‐latitude Indian region: An intercomparison of ART and MART algorithms
Author(s) -
Das Sukanta Kumar,
Shukla Ashish Kumar
Publication year - 2011
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2010rs004350
Subject(s) - tec , algebraic reconstruction technique , total electron content , ionosphere , latitude , global positioning system , pixel , algorithm , international reference ionosphere , remote sensing , geodesy , satellite , computer science , meteorology , geology , geography , iterative reconstruction , physics , artificial intelligence , geophysics , telecommunications , astronomy
Single‐frequency users of a satellite‐based augmentation system (SBAS) rely on ionospheric models to mitigate the delay due to the ionosphere. The ionosphere is the major source of range and range rate errors for users of the Global Positioning System (GPS) who require high‐accuracy positioning. The purpose of the present study is to develop a tomography model to reconstruct the total electron content (TEC) over the low‐latitude Indian region which lies in the equatorial ionospheric anomaly belt. In the present study, the TEC data collected from the six TEC collection stations along a longitudinal belt of around 77 degrees are used. The main objective of the study is to find out optimum pixel size which supports a better reconstruction of the electron density and hence the TEC over the low‐latitude Indian region. Performance of two reconstruction algorithms Algebraic Reconstruction Technique (ART) and Multiplicative Algebraic Reconstruction Technique (MART) is analyzed for different pixel sizes varying from 1 to 6 degrees in latitude. It is found from the analysis that the optimum pixel size is 5° × 50 km over the Indian region using both ART and MART algorithms.