Moving sources detection system
Résumé
To monitor radioactivity passing through a pipe or in a given container such as a train or a truck, radiation detection systems are commonly employed. These detectors could be used in a network set along the source track to increase the overall detection efficiency. However detection methods are based on counting statistics analysis. The method usually implemented consists in trigging an alarm when an individual signal rises over a threshold initially estimated in regards to the natural background signal. The detection efficiency is then proportional to the number of detectors in use, due to the fact that each sensor is taken as a standalone sensor.
A new approach is presented in this paper taking into account the temporal periodicity of the signals taken by all distributed sensors as a whole. This detection method is not based only on counting statistics but also on the temporal series analysis aspect. Therefore, a specific algorithm is then developed in our lab for this kind of applications and shows a significant improvement, especially in terms of detection efficiency and false alarms reduction. We also plan on extracting information from the source vector. This paper presents the theoretical approach and some preliminary results obtain in our laboratory.
Mots clés
standalone sensor
temporal periodicity
detection method
ionizing radiation
instrumentation
nuclear instrumentation
electronic architecture
temporal series analysis
source vector
radioactivity measurement
nuclear materials safeguards
Correlation
Estimation
Signal processing
Statistical analysis
Detectors
Algorithm design and analysis
Algorithm
Detection
Filter - Instrument
Measurement
Monitor
Moving
Nuclear
Radiation
Radioactive - Safeguard
Source - Time series analysis
radioactivity
radiation detection system
counting statistics analysis
natural background signal
Origine | Fichiers produits par l'(les) auteur(s) |
---|