Moving sources detection system

Coulon, Romain; Kondrasovs, Vladimir; Boudergui, Karim; Normand, S.

doi:10.1109/animma.2013.6727872

Cited by 3 publications

(5 citation statements)

References 5 publications

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“…We also implement a new method taking into account the temporal periodicity of the signals provided by all distributed detectors as a whole. As already demonstrated in [2] and [3] the temporal correlation between each detection module contribute to increase the detection level and to decrease the false alarm level.…”

Section: Introductionmentioning

confidence: 58%

New monitoring system to detect a radioactive material in motion

Boudergui¹,

Kondrasovs²,

Coulon³

et al. 2013

2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and Their Applications (ANIMM

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Illegal radioactive material transportation detection, by terrorist for example, is problematic in urban public transportation. Academics and industrials systems include Radiation Portal Monitor (RPM) to detect radioactive matters transported in vehicles or carried by pedestrians. However, today's RPMs are not able to efficiently detect a radioactive material in movement. Due to count statistic and gamma background, false alarms may be triggered or at the contrary a radioactive material not detected. The statistical false alarm rate has to be as low as possible in order to limit useless intervention especially in urban mass transportation. The real-time approach depicted in this paper consists in using a time correlated detection technique in association with a sensor network. It is based on several low-cost and large area plastic scintillators and a digital signal processing designed for signal reconstruction from the sensor network. The number of sensors used in the network can be adapted to fit with applications requirements or cost. The reconstructed signal is improved by comparing other approaches. This allows us to increase the device speed that has to be scanned while decreasing the risk of false alarm.In the framework of a project called SECUR-ED Secured Urban Transportation -European Demonstration, this prototype system will be used during an experiment in the Milan urban mass transportation.

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Section: Introductionmentioning

confidence: 58%

New monitoring system to detect a radioactive material in motion

Boudergui¹,

Kondrasovs²,

Coulon³

et al. 2013

2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and Their Applications (ANIMM

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“…A different approach is to form a fixed sensor network on a grid of monitoring points with a large number of relatively inexpensive (hence low accuracy) sensors. There have been studies using such a fixed network for detection and monitoring of nuclear material, including mobile sources. Small‐scale experiments have been conducted to test such systems.…”

Section: Introductionmentioning

confidence: 99%

A dynamic fusion system for fast nuclear source detection and localization with mobile sensor networks

Grelaud

Mitra

Xie

et al. 2017

Appl Stoch Models Bus & Ind

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This paper proposes a dynamic system, with an associated fusion learning inference procedure, to perform real-time detection and localization of nuclear sources using a network of mobile sensors. This is motivated by the need for a reliable detection system in order to prevent nuclear attacks in major cities such as New York City. The approach advocated here installs a large number of relatively inexpensive (and perhaps relatively less accurate) nuclear source detection sensors and GPS devices in taxis and police vehicles moving in the city. Sensor readings and GPS information are sent to a control center at a high frequency, where the information is immediately processed and fused with the earlier signals. We develop a real-time detection and localization method aimed at detecting the presence of a nuclear source and estimating its location and power. We adopt a Bayesian framework to perform the fusion learning and use a sequential Monte Carlo algorithm to estimate the parameters of the model and to perform real-time localization. A simulation study is provided to assess the performance of the method for both stationary and moving sources. The results provide guidance and recommendations for an actual implementation of such a surveillance system.Appl. Stochastic Models Bus. Ind. 2018, 34 4-19 GRELAUD ET AL. t ), of all the sensors in the system and the binary signals the sensors send to the control center t = (d (1) t , · · · , d (n t ) t ). Here, n t is the number of active sensors. The locations, t , are assumed to be accurate, but the signals received by the control center could possibly be false.This model assumes the presence of one source. It is compared with the baseline model, where no source is present, for the purpose of detecting the presence of a source. Details of the comparison are presented in Section 3.2. The extension to multiple source detection is discussed in Section 6.State-space models have been widely used in many applications, including source tracking [29,30,[36][37][38][39][40][41][42][43]. However, our approach is different from standard source tracking problems, mainly because in our case, both negative and positive binary signals are observed and used. The use of state-space formation allows the data collected at time t to be used for the estimation of the location of the source x t with the information observed in the past, through an updating of the previous estimation of x t−1 , instead of performing an independent analysis at each time point. A source's motion possesses 6

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“…When the network is linear and the source carrier has a constant velocity, this phase corresponds to the periodic echo of the signal increase on the first channel as seen on the other channels. The difference in nature between both methods introduces a quantitative information gain, and thus a potential improvement in detection capability [27][28][29].…”

Section: Ionizing Radiation Effects and Applicationsmentioning

confidence: 99%

“…If ∀j ∈ 1; n ½ ½ &∀φ ∈ 1; It has been proven in [27][28][29], the largely significant added-value in term of detection capability permits by the implementation of the correlation based detection. The true detection rate is increased while maintaining very low false alarm rate.…”

Section: Algorithmmentioning

confidence: 99%

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Recent Developments in Count Rate Processing Associated with Radiation Monitoring Systems

Coulon¹,

Dumazert²

2018

Ionizing Radiation Effects and Applications

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This chapter presents some recent data processing developments associated with radiation monitoring systems. Radiation monitors have to continuously provide count rate estimations with accuracy and precision. A filtering technique based on a Centered Significance Test coupled with a Brown's double exponential filter has been developed and used in compensation measurement and moving sources detection schemes.

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Moving sources detection system

Cited by 3 publications

References 5 publications

New monitoring system to detect a radioactive material in motion

New monitoring system to detect a radioactive material in motion

A dynamic fusion system for fast nuclear source detection and localization with mobile sensor networks

Recent Developments in Count Rate Processing Associated with Radiation Monitoring Systems

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