Performance analysis of Wald-statistic based network detection methods for radiation sources

作者: Richard R. Brooks , Chase Q. Wu , Nageswara S. V. Rao , Satyabrata Sen , Guthrie Cordone

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摘要: There have been increasingly large deployments of radiation detection networks that require computationally fast algorithms to produce prompt results over ad-hoc sub-networks mobile devices, such as smart-phones. These are in sharp contrast complex network necessitate all measurements be sent powerful central servers. In this work, at individual sensors, we employ Wald-statistic based which very fast, and implemented one three Z-tests four chi-square tests. At fusion center, apply the K-out-of-N combine sensors' hard decisions. We characterize performance methods by deriving analytical expressions for distributions underlying test statistics, analyzing performances terms K, N, false-alarm rates detectors. experimentally validate our using from indoor outdoor characterization tests Intelligence Radiation Sensors Systems (IRSS) program. particular, utilizing measurements, construct two important real-life scenarios, boundary surveillance portal monitoring, present algorithms.

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