Dynamic tomographic imaging of the solar corona

Mark D. Butala, Farzad Kamalabadi, Richard A. Frazin, Yuguo Chen

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)755-766
Number of pages12
JournalIEEE Journal on Selected Topics in Signal Processing
Volume2
Issue number5
DOIs
StatePublished - Dec 30 2008

Keywords

  • Astronomy
  • Image processing
  • Kalman filtering
  • Statistics
  • Stochastic systems
  • Tomography

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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