Abstract
Three-dimensional (3-D) maps of the electron density and temperature in the solar atmosphere can be tomographically reconstructed from two-dimensional images that are measured by a variety of ground-based and space-based instruments. The electron density and temperature of the solar corona are fundamental parameters for understanding the physical mechanisms that contribute to space weather, or physical phenomena that can, in extreme cases, have adverse effects on Earth and the near-Earth space environment. New signal processing methods are required to take full advantage of the rich and complex suite of observations that are available from the current generation of Sun-observing spacecraft. In particular, this paper provides signal models and corresponding optimal state estimation methods for reconstructing the dynamic 3-D electron density and temperature structures in the solar corona with focus on the many challenges associated with solar tomography.
Original language | English (US) |
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Pages (from-to) | 755-766 |
Number of pages | 12 |
Journal | IEEE Journal on Selected Topics in Signal Processing |
Volume | 2 |
Issue number | 5 |
DOIs | |
State | Published - 2008 |
Keywords
- Astronomy
- Image processing
- Kalman filtering
- Statistics
- Stochastic systems
- Tomography
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering