首页> 外文会议>Unmanned/Unattended Sensors and Sensor Networks IV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6736 >Intelligent Maritime Security System with Sensor Networks for Coastal Environmental and Homeland Security Applications
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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,适用于沿海环境和国土安全应用

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摘要

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指挥与控制系统设计,以及将低成本,分布式传感器网络用于智能海上保安系统的建议。该概念利用小型无源和有源多现象无人值守传感器和基于岸上的光学传感器组成的网络来检测,分类和跟踪接近高价值沿海资产的淹没威胁对象,例如港口,港口,住宅,商业和军事设施,以及地区。无人值守的水下传感器网络执行初始检测,分类和粗略跟踪,然后将基于岸边的光学激光雷达传感器排队。这些基于岸上的传感器执行高分辨率扇区搜索,以对淹没的威胁对象进行精确跟踪。潜在的威胁物体包括潜艇,水下驳船,UUV,携带威胁物体(如炸药,化学,生物,放射和核材料)的游泳者。提出了具有低虚警率(FAR)的可靠系统。提议将数十到数百个低成本无源传感器与几个有源声光传感器一起以威胁和设施相关的模式一起部署,以最大程度地检测,跟踪和分类淹没的威胁对象。

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