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

Document Type

Conference Proceeding

Publication Date

8-1-2016

Abstract

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

Identifier

84992027391 (Scopus)

ISBN

[9780996452748]

Publication Title

Fusion 2016 19th International Conference on Information Fusion Proceedings

First Page

820

Last Page

827

Grant

IAA HSHQDC-13-X-B0002

Fund Ref

U.S. Department of Homeland Security

This document is currently not available here.

Share

COinS