Accession Number ADA564635
Title Distributed Sequential Algorithms for Regional Source Localization.
Publication Date Mar 2011
Media Count 9p
Personal Author F. Bullo S. H. Dandach
Abstract 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.
Keywords 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


 
Source Agency Non Paid ADAS
NTIS Subject Category 72B - Algebra, Analysis, Geometry, & Mathematical Logic
Corporate Author California Univ., Santa Barbara. Center for Control Engineering and Computation.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1303
Contract Number FA9550-07-1-0528

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