首页> 外文会议>Chemical and Biological Sensing VII >Implementation of Algorithms to Discriminate Chemical/Biological Airbursts from High Explosive Airbursts Utilizing Acoustic Signatures
【24h】

Implementation of Algorithms to Discriminate Chemical/Biological Airbursts from High Explosive Airbursts Utilizing Acoustic Signatures

机译:利用声学特征将化学/生物爆炸与高爆炸爆炸区分开的算法的实现

获取原文
获取原文并翻译 | 示例

摘要

The Army is currently developing acoustic sensor systems that will provide extended range surveillance, detection, and identification for force protection and tactical security. A network of such sensors remotely deployed in conjunction with a central processing node (or gateway) will provide early warning and assessment of enemy threats, near real-time situational awareness to commanders, and may reduce potential hazards to the soldier. In contrast, the current detection of chemical/biological (CB) agents expelled into a battlefield environment is limited to the response of chemical sensors that must be located within close proximity to the CB agent. Since chemical sensors detect hazardous agents through contact, the sensor range to an airburst is the key-limiting factor in identifying a potential CB weapon attack. The associated sensor reporting latencies must be minimized to give sufficient preparation time to field commanders, who must assess if an attack is about to occur, has occurred, or if occurred, the type of agent that soldiers might be exposed to. The long-range propagation of acoustic blast waves from heavy artillery blasts, which are typical in a battlefield environment, introduces a feature for using acoustics and other sensor suite technologies for the early detection and identification of CB threats. Employing disparate sensor technologies implies that warning of a potential CB attack can be provided to the solider more rapidly and from a safer distance when compared to current conventional methods. Distinct characteristics arise within the different airburst signatures because High Explosive (HE) warheads emphasize concussive and shrapnel effects, while chemical/biological warheads are designed to disperse their contents over immense areas, therefore utilizing a slower burning, less intensive explosion to mix and distribute their contents. Highly reliable discrimination (100%) has been demonstrated at the Portable Area Warning Surveillance System (PAWSS) Limited Objective Experiment (LOE) conducted by Joint Project Manager for Nuclear Biological Contamination Avoidance (JPM NBC CA) and a matrixed team from Edgewood Chemical and Biological Center (ECBC) at ranges exceeding 3km. The details of the field-test experiment and real-time implementation/integration of the standalone acoustic sensor system are discussed herein.
机译:陆军目前正在开发声传感器系统,该系统将提供扩展范围的监视,检测和识别,以保护部队和战术安全。与中央处理节点(或网关)一起远程部署的此类传感器网络将为敌方威胁提供预警和评估,为指挥官提供接近实时的态势感知,并可以减少对士兵的潜在危害。相反,当前被排入战场环境的化学/生物(CB)药剂的检测仅限于必须位于CB药剂附近的化学传感器的响应。由于化学传感器通过接触来检测有害物质,因此,传感器的空射距离是识别潜在CB武器攻击的关键限制因素。必须最小化相关的传感器报告等待时间,以便为野战指挥官留出足够的准备时间,他们必须评估攻击是否即将发生,是否已经发生,或者是否发生过士兵可能会接触到的特工类型。在战场环境中典型的重型火炮爆炸声波的远距离传播,引入了使用声波和其他传感器套件技术来及早发现和识别CB威胁的功能。与当前的常规方法相比,采用不同的传感器技术意味着可以向士兵提供更迅速,更安全的距离的潜在CB攻击警告。不同的爆炸特征具有不同的特征,这是因为高爆炸头(HE)强调了震荡和弹片效应,而化学/生物弹头旨在将其内容物散布在巨大区域,因此利用燃烧较慢,强度较小的爆炸来混合和分配其弹头。内容。便携式区域警告监视系统(PAWSS)有限目标实验(LOE)由核生物避免污染联合项目经理(JPM NBC CA)和Edgewood Chemical and Biological组成的小组进行了验证,证明了高度可靠的歧视(100%)中心(ECBC)的距离超过3公里。本文讨论了独立声学传感器系统的现场测试实验和实时实现/集成的细节。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号