Argonne National Laboratory
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Abstract:
In this work, target or source localization and tracking by a network of primitive binary sensors under various imperfections are studied. Detailed analysis and mathematical modeling of imperfect binary sensors are presented. Imperfections include sensor failures of two types, uncertainty and heterogeneity in binary sensor trigger thresholds, presence of noise and non-radial symmetry of sensing ranges. Numerical algorithms for source localization and tracking are proposed along with convergence and asymptotic normality results.
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Submitted by Raghuraman Mudumbai on Tue, 12/02/2014 - 5:56pm
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Abstract:
Identification and tracking of nuclear materials is a problem of obvious importance, and has attracted a great deal of engineering effort in the recent past. The technical challenges of this problem are compounded by the fact that nuclear materials that are of interest vary widely in their concentrations and compositions, and are often concealed with shielding material, and buried in background radiation that is always present, but varies widely in strength and spectrum over time and space.
