Optimizing the PMCC Algorithm for Infrasound and Seismic Nuclear Treaty Monitoring
Optimizing the PMCC Algorithm for Infrasound and Seismic Nuclear Treaty Monitoring作者机构：Space and Missile Systems Center United States Air Force Los Angeles Air Force Base El Segundo CA USA Leidos Inc. Beavercreek OH USA Air Force Technical Applications Center United States Air Force Patrick Air Force Base Cocoa Beach FL USA
出 版 物：《Open Journal of Acoustics》 (声学期刊（英文）)
年 卷 期：2014年第4卷第4期
页 面：204-213页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Progressive Multi-Channel Correlation PMCC Infrasound Nuclear Treaty Monitoring Detection Optimization
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.
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