首页> 外文会议>Fiber Optic Sensor and Applications V; Proceedings of SPIE-The International Society for Optical Engineering; vol.6770 >Intruder Signature Analysis from a Phase-sensitive Distributed Fiber-optic Perimeter Sensor
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Intruder Signature Analysis from a Phase-sensitive Distributed Fiber-optic Perimeter Sensor

机译:来自相敏分布式光纤周界传感器的入侵者签名分析

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Using a phase-sensitive optical time-domain reflectometer developed at Texas A&M University, this paper reports on recent advances in intruder detection and classificatoin for long perimeters or borders. The system uses light pulses from a narrow linewidth CW laser with low frequency drift to interrogate an optical fiber. The backscattered light is detected, and real-time processing of the received signal is performed. Signatures from single and multiple humans on foot, nearby vehicle traffic on a road, construction-like vehicle activity, and animals have been obtained. Individual footsteps are clearly identified and the cadence readily observed. Time-frequency plots are used to compare the signatures. The detected signal contains information regarding the weight of the intruder as well. An adult weighing around 60kg may produce several π-radian shifts in the optical phase, which is detected by the system. While distances up to 20km have been monitored in previous remote field tests, we report measurements on a local test site with a total fiber length of 12km. A 3-mm diameter fiber cable is buried at a depth of 20-46 cm over a distance of 44m, with a 2km spool of fiber attached prior to the buried fiber and a 10km fiber spool connected in series after the buried section. Recent advances in data acquisition and signal processing allow us to avoid false alarms due to drifts in the laser center frequency and greatly improve the probability of detection. With these advancements, this technology is prime for low-cost perimeter monitoring of high-value and high-security installations such as nuclear power plants and military bases as well as national borders.
机译:本文使用德州农工大学开发的相敏光学时域反射仪,报道了入侵者检测和长距离或边界分类的最新进展。该系统使用来自具有低频率漂移的窄线宽连续波激光器的光脉冲来询问光纤。检测到反向散射光,并执行接收信号的实时处理。已获得来自步行的单人和多人,道路上附近的车辆通行,类似建筑的车辆活动以及动物的签名。可以清楚地识别出各个脚步声,并且可以轻松地观察其节奏。时频图用于比较签名。检测到的信号也包含有关入侵者重量的信息。体重约60kg的成年人可能会在光学相位中产生几次π弧度偏移,系统会检测到该偏移。尽管在以前的远程现场测试中已经监视了20 km的距离,但我们报告了在本地测试现场进行的总光纤长度为12 km的测量。直径为3毫米的光缆在44m的距离内以20-46 cm的深度埋入,在埋入的光纤之前连接了2km的线轴,在埋入部分之后串联了10km的光纤线轴。数据采集​​和信号处理的最新进展使我们能够避免由于激光中心频率的漂移而引起的误报,并大大提高了检测的可能性。通过这些进步,该技术成为了对高价值和高安全性装置(如核电站,军事基地以及国界)进行低成本外围监视的主要工具。

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