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Accession Number
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ADA564635
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Title
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Distributed Sequential Algorithms for Regional Source Localization.
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Publication Date
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Mar 2011
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Media Count
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9p
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Personal Author
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F. Bullo S. H. Dandach
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Abstract
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We study the problem of source localization as a multiple hypothesis testing, where each hypothesis corresponds to the event that the source belongs to a particular region. We use sequential hypothesis tests based on posterior computations to solve for the correct hypothesis. Measurements corrupted with noise are used to calculate conditional posteriors. We prove that the regional localization problem has geometric properties that allow correct detection almost surely in the limit of infinite measurements. We present the Sense, Transmit & Test algorithm that allows sequential sensing communication and testing and we analyze the accuracy of this distributed algorithm and show that the test ends in a finite time. We also present numerical results illustrating properties of the suggested algorithm.
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Keywords
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Algorithms Communication and radio systems Computations Decision making Detection Distributed algorithms Distribution Hyphothesis testing Hypotheses Localization Measurement Numerical analysis Regions Sequential analysis Sequential decision making Statistical tests Test and evaluation
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Source Agency
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Non Paid ADAS
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NTIS Subject Category
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72B - Algebra, Analysis, Geometry, & Mathematical Logic
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Corporate Author
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California Univ., Santa Barbara. Center for Control Engineering and Computation.
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Document Type
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Technical report
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Title Note
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N/A
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NTIS Issue Number
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1303
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Contract Number
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FA9550-07-1-0528
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