SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Ionizing Radiation Detection Using Jump Markov Linear Systems

Author(s)

Luc Eglin	CEA, Saclay, France
Eric Barat	CEA, Saclay, France
Thierry Montagu	CEA, Saclay, France
Thomas Dautremer	CEA, Saclay, France
Jean-Christophe Trama	CEA, Saclay, France

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Abstract

The systems commonly used to detect photons and estimate theirs energies are usually irrelevant for high flux. Hidden Markov Model and Jump Markov Linear Systems (JMLS) provide a framework which allows us to get an optimal estimate for stochastic processes, whose occurrences are randomly distributed according to time of detection, length and magnitude. It is perfectly adapted to the spectrometry issue. We use the Maximum a Posteriori (MAP) criterion to estimate the state vector. In the high signal-to-noise ratio (SNR) case, the system can be simplified as a Kalman smoother set up in an on-line version in our lab. Results in low SNR case are shown in this paper.