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Conference Papers Year : 2015

Nuclear counting filter based on a Centered Skellam Test and a double Exponential Smoothing

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Abstract

Online nuclear counting represents a challenge due to the stochastic nature of radioactivity. The count data have to be filtered in order to provide a precise and accurate estimation of the count rate, this with a response time compatible with the application in view. An innovative filter is presented in this paper addressing this issue. It is a nonlinear filter based on a Centered Skellam Test (CST) giving a local maximum likelihood estimation of the signal based on a Poisson distribution assumption. This nonlinear approach allows to smooth the counting signal while maintaining a fast response when brutal change activity occur. The filter has been improved by the implementation of a Brown's double Exponential Smoothing (BES). The filter has been validated and compared to other state of the art smoothing filters. The CST-BES filter shows a significant improvement compared to all tested smoothing filters.
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Dates and versions

cea-01823368 , version 1 (16-07-2019)

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R. Coulon, Vladimir Kondrasovs, J. Dumazert, E. Rohée, S. Normand. Nuclear counting filter based on a Centered Skellam Test and a double Exponential Smoothing. 2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), Apr 2015, Lisbon, Portugal. pp.7465500, ⟨10.1109/ANIMMA.2015.7465500⟩. ⟨cea-01823368⟩
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