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Locating Sensors for Detecting Source-to-Target Patterns of Special Nuclear Material Smuggling: A Spatial Information Theoretic Approach

机译:用于检测特殊核材料走私的源到目标模式的定位传感器:一种空间信息理论方法

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摘要

In this paper, a spatial information-theoretic model is proposed to locate sensors for detecting source-to-target patterns of special nuclear material (SNM) smuggling. In order to ship the nuclear materials from a source location with SNM production to a target city, the smugglers must employ global and domestic logistics systems. This paper focuses on locating a limited set of fixed and mobile radiation sensors in a transportation network, with the intent to maximize the expected information gain and minimize the estimation error for the subsequent nuclear material detection stage. A Kalman filtering-based framework is adapted to assist the decision-maker in quantifying the network-wide information gain and SNM flow estimation accuracy.
机译:在本文中,提出了一种空间信息理论模型来定位用于检测特殊核材料(SNM)走私的源到目标模式的传感器。为了将核材料从SNM生产的来源地运送到目标城市,走私者必须采用全球和国内物流系统。本文的重点是在运输网络中定位一组固定的固定辐射传感器和移动辐射传感器,以期最大程度地提高预期的信息增益并最小化后续核材料检测阶段的估计误差。基于卡尔曼滤波的框架适用于协助决策者量化网络范围的信息增益和SNM流量估计的准确性。

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