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Accession Number ADA582222
Title Model-Free Stochastic Localization of CBRN Releases.
Publication Date 2013
Media Count 16p
Personal Author I. C. Paschalidis R. T. Locke
Abstract We present a novel two-stage methodology for locating a Chemical, Biological, Radiological, or Nuclear (CBRN) source in an urban area using a network of sensors. In contrast to earlier work, our approach does not solve an inverse dispersion problem but relies on data obtained from a simulation of the CBRN dispersion to obtain probabilistic descriptors of sensor measurements under a variety of CBRN release scenarios. At its first stage, subsequent sensor observations under nominal, CBRN event-free conditions are assumed to be independent and identically distributed, and we rely on the method of types to detect a CBRN event. Conditional on such an event, subsequent sensor observations are assumed to follow a Markov process. Using composite hypothesis testing, we map sensor measurements to a source location chosen out of a discrete set of possible locations. We leverage large deviation techniques to obtain a bound on the localization probability of error and propose several methodologies for fusing sensor data to arrive at a localization decision, including a distributed one. We also address the problem of optimally placing sensors to minimize the localization probability of error. Our techniques are validated numerically using two different CBRN release simulators.
Keywords Biological warfare agents
Cbrn dispersion scenarios
Cbrn dispersion simulation
Cbrn source detection
Cbrn source localization
Chemical warfare agents
Composite hypothesis testing
Computerized simulation
Data fusion
Large deviations
Lattice boltzmann method
Markov processes
Nuclear weapons
Position finding
Quic(Quick urban & industrial complex dispersion modeling sy
Radiological warfare agents
Release detection
Sensor networks
Sensor placement
Urban areas

Source Agency Non Paid ADAS
NTIS Subject Category 72F - Statistical Analysis
74D - Chemical, Biological, & Radiological Warfare
63 - Detection & Countermeasures
74H - Nuclear Warfare
Corporate Author Boston Univ., MA. Dept. of Systems and Computer Engineering.
Document Type Journal article
Title Note Journal article.
NTIS Issue Number 1326
Contract Number FA8721-05-C-0002 W911NF-11-1-0227

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