Optimizing the PMCC Algorithm for Infrasound and Seismic Nuclear Treaty Monitoring

• 作者: Anthony M. Runco Jr. Dean A. Clauter James A. Louthain
• 来源期刊: 声学期刊(英文)
• 学科: 医学
• 关键词: PROGRESSIVE MULTI-CHANNEL Correlation PMCC INFRASOUND NUCLEAR TREATY MONITORING Detection Optimization
• 年，卷（期）: sxqkyw_2014,（4）
• 页码范围: 204-213
• 页数: 10页
• 分类号: R73

摘要

We introduce novel methods to determine optimum detection thresholds for the Progressive Multi-Channel Correlation (PMCC) algorithm used by the International Data Centre (IDC) to perform infrasound and seismic station-level nuclear-event detection. Receiver Operating Characteristic (ROC) curve analysis is used with real ground truth data to determine the trade-off between the probability of detection (PD) and the false alarm rate (FAR) at various detection thresholds. Further, statistical detection theory via maximum a posteriori and Bayes cost approaches is used to determine station-level optimum “family” size thresholds before detections should be considered for network-level processing. These threshold-determining methods are extensible for family-characterizing statistics other than “size,” such as a family’s collective F-statistic or signal-to-noise ratio (SNR). Therefore, the reliability of analysts’ decisions as to whether families should be preserved for network-level processing can only benefit from access to multiple, independent, optimum decision thresholds based upon size, F-statistic, SNR, etc.