论文信息 - KERNEL-BASED NOISE FILTERING OF NEUTRON DETECTOR SIGNALS

KERNEL-BASED NOISE FILTERING OF NEUTRON DETECTOR SIGNALS

This paper describes recently developed techniques for effective filtering of neutron detector signal noise. In this paper, three kinds of noise filters are proposed and their performance is demonstrated for the estimation of reactivity. The tested filters are based on the unilateral kernel filter, unilateral kernel filter with adaptive bandwidth and bilateral filter to show their effectiveness in edge preservation. Filtering performance is compared with conventional low-pass and wavelet filters. The bilateral filter shows a remarkable improvement compared with unilateral kernel and wavelet filters. The effectiveness and simplicity of the unilateral kernel filter with adaptive bandwidth is also demonstrated by applying it to the reactivity measurement performed during reactor start-up physics tests.

Moon‐Ghu Park | H. Shin | Eunki Lee

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