Error probability bounds for nuclear detection: improving accuracy through controlled mobility

Show simple item record Pahlajani, Chetan D. Sun, Jianxin Poulakakis, Ioannis Tanner, Herbert G. 2014-10-21T10:59:04Z 2014-10-21T10:59:04Z 2014-10
dc.identifier.citation Pahlajani, Chetan D.; Sun, Jianxin; Poulakakis, Ioannis and Tanner, Herbert G., "Error probability bounds for nuclear detection: improving accuracy through controlled mobility", Automatica, DOI: 10.1016/j.automatica.2014.08.025, vol. 50, no 10, pp 2470-2481, Oct. 2014. en_US
dc.identifier.issn 0005-1098
dc.description.abstract A collection of static and mobile radiation sensors is tasked with deciding, within a fixed time interval, whether a moving target carries radioactive material. Formally, this is a problem of detecting weak time-inhomogeneous Poisson signals (target radiation) concealed in another Poisson signal (naturally occurring background radiation). Each sensor locally processes its observations to form a likelihood ratio, which is transmitted once—at the end of the decision interval—to a fusion center. The latter combines the transmitted information to optimally (in the Neyman–Pearson sense) decide whether the measurements contain a radiation signal, or just noise. We provide a set of analytically derived upper bounds for the probabilities of false alarm and missed detection, which are used to design threshold tests without the need for computationally intensive Monte Carlo simulations. These analytical bounds couple the physical quantities of interest to facilitate planning the motion of the mobile sensors for minimizing the probability of missed detection. The network reconfigures itself in response to the target motion, to allow more accurate collective decisions within the given time interval. The approach is illustrated in numerical simulations, and its effectiveness demonstrated in experiments that emulate the statistics of nuclear emissions using a pulsed laser. en_US
dc.description.statementofresponsibility by Chetan D. Pahlajania et. al.
dc.format.extent Vol. 50, No. 10, pp. 2470-2481
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Nuclear detection en_US
dc.subject Mobile sensor networks en_US
dc.subject Inhomogeneous Poisson processes en_US
dc.subject Chernoff bounds en_US
dc.title Error probability bounds for nuclear detection: improving accuracy through controlled mobility en_US
dc.type Article en_US
dc.relation.journal Automatica

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