Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication 2017
DOI: 10.1145/3022227.3022268
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An optimal data fusion for distributed multisensor systems

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Cited by 5 publications
(5 citation statements)
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“…The BC formula provides a consistent fusion result in the sense of Maximum Likelihood [ 18 ] for a pair of redundant data sources. A generalization to more than two data sources with known cross-correlations is given in References [ 19 , 20 , 21 , 22 ]. A unified fusion rule for centralized, distributed and hybrid fusion architectures with complete prior information was proposed in References [ 20 , 64 ].…”
Section: Distributed Data Fusionmentioning
confidence: 99%
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“…The BC formula provides a consistent fusion result in the sense of Maximum Likelihood [ 18 ] for a pair of redundant data sources. A generalization to more than two data sources with known cross-correlations is given in References [ 19 , 20 , 21 , 22 ]. A unified fusion rule for centralized, distributed and hybrid fusion architectures with complete prior information was proposed in References [ 20 , 64 ].…”
Section: Distributed Data Fusionmentioning
confidence: 99%
“…Given sensor estimates with exact cross-correlation , the fused mean and covariance can be written as [ 19 , 20 , 21 , 22 ], with where the dimensions of and are , and , respectively. is the number of sensors and corresponds to the dimension of the state vector.…”
Section: Distributed Data Fusionmentioning
confidence: 99%
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“…Given n tracks )(bold-italicxfalse^1,P1,)(bold-italicxfalse^2,P2,,)(bold-italicxfalse^n,Pn with exact cross‐covariances Pij,thickmathspacei,j=1,,n, the fused mean and covariance can be obtained as [11, 12, 36]bold-italicxfalse~=false(MTP1bold-italicMfalse)1MTP1bold-italicxfalse^ bold-italicPfalse~=false(MTP1bold-italicMfalse)1 withbold-italicxfalse^=][1em4ptbold-italicxfalse^N11em4ptbold-italicxfalse^N2bold-italicxfalse^Nn,1embold-italicP=][1em4ptP11em4ptP12P1n1em4ptP12T…”
Section: Distributed Data Fusionmentioning
confidence: 99%