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Infrasonic Signal Detection and Source Location at the Prototype International Data Centre

机译：原型国际数据中心的次声信号检测和源定位

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— This paper describes an automatic and interactive data processing system designed to locate impulsive atmospheric sources with a yield of at least one kiloton by detecting and characterizing the airborne infrasound radiated by the source. The infrasonic processing subsystem forms part of a larger system currently under development at the Prototype International Data Center (PIDC) in Arlington, Virginia where seismic, hydroacoustic, radionuclide and infrasonic methods are used to detect and locate impulsive sources in any terrestrial environment. Infrasonic signal detection is achieved via a coincidence detector which requires both the normalized cross correlation and the short-term-average/long-term-average ratio of a beam in the direction of maximum correlation to exceed predetermined threshold values simultaneously before a detection is declared. The infrasound propagation model currently used to infer travel-time information assumes the horizontal sound speed across the ground to be 320.0 m/s. This crude model is currently being replaced by a model which predicts travel-time information through a ray-tracing algorithm for acoustic waves in an atmosphere with seasonal representations for temperature and wind. A novel feature of the source location process is the fusion of all available arrival information, whether it be seismic, hydroacoustic or infrasonic to locate a single source where it is reasonable to hypothesize a common source. In its final configuration the infrasonic subsystem will routinely process data from the global 60-station International Monitoring System (IMS) infrasonic network currently under development.
机译：—本文介绍了一种自动交互数据处理系统，该系统旨在通过检测和表征源辐射的空中次声来定位产量至少为一千吨的脉冲大气源。次声处理子系统构成了弗吉尼亚州阿灵顿国际原型数据中心（PIDC）当前正在开发的大型系统的一部分，该系统使用地震，水声，放射性核素和次声方法检测和定位任何地面环境中的脉冲源。通过符合检测器实现次声信号检测，该检测器同时要求归一化互相关和光束在最大相关方向上的短期平均/长期平均比率均要同时超过预定阈值，才能宣布检测结果。当前用于推断旅行时间信息的次声传播模型假设整个地面的水平声速为320.0 m / s。目前，该粗略模型已被一种模型取代，该模型通过光线跟踪算法预测大气中声波的行进时间信息，并以季节表示温度和风。源定位过程的一个新颖特征是融合所有可用的到达信息，无论是地震，水声还是次声定位单个源，在合理假设一个公共源的情况下进行定位。在其最终配置中，次音子系统将例行处理来自当前正在开发的全球60个站点的国际监视系统（IMS）次音网络的数据。

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