| Revue: | Anais da Academia Brasileira de Ciencias |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000412249 |
| ISSN: | 0001-3765 |
| Autores: | Prol, Fabricio S1 Camargo, Paulo O1 Muella, Marcio T.A.H2 |
| Instituciones: | 1Universidade Estadual Paulista "Julio de Mesquita Filho", Departamento de Cartografia, Presidente Prudente, Sao Paulo. Brasil 2Universidade do Vale do Paraiba, Laboratorio de Fisica e Astronomia, Sao Jose dos Campos, Sao Paulo. Brasil |
| Año: | 2017 |
| Periodo: | Sep |
| Volumen: | 89 |
| Número: | 3 |
| Paginación: | 1531-1542 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | The incomplete geometrical coverage of the Global Navigation Satellite System (GNSS) makes the ionospheric tomographic system an ill-conditioned problem for ionospheric imaging. In order to detect the principal limitations of the ill-conditioned tomographic solutions, numerical simulations of the ionosphere are under constant investigation. In this paper, we show an investigation of the accuracy of Algebraic Reconstruction Technique (ART) and Multiplicative ART (MART) for performing tomographic reconstruction of Chapman profiles using a simulated optimum scenario of GNSS signals tracked by ground-based receivers. Chapman functions were used to represent the ionospheric morphology and a set of analyses was conducted to assess ART and MART performance for estimating the Total Electron Content (TEC) and parameters that describes the Chapman function. The results showed that MART performed better in the reconstruction of the electron density peak and ART gave a better representation for estimating TEC and the shape of the ionosphere. Since we used an optimum scenario of the GNSS signals, the analyses indicate the intrinsic problems that may occur with ART and MART to recover valuable information for many applications of Telecommunication, Spatial Geodesy and Space Weather |
| Disciplinas: | Geociencias |
| Palabras clave: | Ciencias de la atmósfera, Ionósfera, Densidad electrónica, Función de Chapman, Navegación satelital, Tomografía ionosférica |
| Keyword: | Earth sciences, Atmospheric sciences, Ionosphere, Electronic density, Chapman function, Satellite navigation, Ionospheric tomography |
| Texte intégral: | Texto completo (Ver HTML) |
