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Intelligent Maritime Security System with Sensor Networks for Coastal Environmental and Homeland Security Applications

机译:具有传感器网络的智能海上安全系统,用于沿海环境和国土安全应用

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This paper proposes an innovative command and control system design and the use of low, cost distributed sensor networks for an intelligent maritime security system. This concept utilizes a network of small passive and active multi-phenomenological unattended sensors and shore based optical sensors to detect, classify, and track submerged threat objects approaching high value coastal assets, such as ports, harbors, residential, commercial, and military facilities and areas. The network of unattended, in-water sensors perform the initial detection, classification, and coarse tracking and then queues shore based optical laser radar sensors. These shore-based sensors perform a high resolution sector search to develop a precision track on the submerged threat objects. Potential threat objects include submarines, submerged barges, UUV's, swimmers carrying threat objects such as explosives, chemical, biological, radiological, and nuclear materials. Reliable systems with low false alarm rates (FAR) are proposed. Tens to hundreds of low cost passive sensors are proposed to be deployed conjunctively with several active acoustic and optical sensors in threat and facility dependant patterns to maximize the detection, tracking and classification of submerged threat objects.
机译:本文提出了一种创新的命令和控制系统设计以及为智能海上安全系统的低成本分布式传感器网络的使用。该概念利用小型无源和有源多现象学无人参与传感器的网络和基于岸的光学传感器来检测,分类和追踪潜水威胁对象,接近高价值的沿海资产,如港口,港口,住宅,商业和军事设施以及地区。无人看管的内部传感器的网络执行初始检测,分类和粗跟踪,然后队列基于岸的光激光雷达传感器。这些基于岸的传感器执行高分辨率扇区搜索,以在浸没的威胁对象上开发精密曲目。潜在的威胁对象包括潜艇,淹没驳船,UUV,携带威胁物体,如爆炸物,化学,生物,放射和核材料的游泳者。提出了具有低误报率(远)的可靠系统。提出了数百至数百个低成本的无源传感器,以便在威胁和设施依赖模式中与若干有源声学和光学传感器进行联合部署,以最大限度地提高淹没威胁对象的检测,跟踪和分类。

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