Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah 84112, USA.
Sensors (Basel). 2010;10(9):8070-91. doi: 10.3390/s100908070. Epub 2010 Aug 27.
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.
本文提出了一种空间信息论模型，用于定位传感器以检测特殊核材料（SNM）走私的源到目标模式。为了将核材料从具有 SNM 生产的源位置运送到目标城市，走私者必须采用全球和国内物流系统。本文侧重于在运输网络中定位一组有限的固定和移动辐射传感器，目的是最大化预期信息增益并最小化后续核材料检测阶段的估计误差。采用基于卡尔曼滤波的框架来帮助决策者量化全网信息增益和 SNM 流量估计精度。
