Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering
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سال
: 2014شناسه الکترونیک: 10.1109/LSP.2014.2316258
کلیدواژه(گان): iterative methods,nonlinear filters,probability,target tracking,consensus iteration,likelihood consensus,networked nonlinear filtering,parallel consensus approach,probability distribution,sampling interval,target tracking,weighting factor,Bayes methods,Filtering,Probability density function,Probability distribution,Signal processing algorithms,State estimation,Target tracking,Consensus,distributed state estimation,nonlinear filtering,sensor networks
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Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering
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contributor author | Battistelli, Giorgio | |
contributor author | Chisci, L. | |
contributor author | Fantacci, C. | |
date accessioned | 2020-03-12T23:56:54Z | |
date available | 2020-03-12T23:56:54Z | |
date issued | 2014 | |
identifier issn | 1070-9908 | |
identifier other | 6784395.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1129049 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8309341 | |
subject keywords | iterative methods | |
subject keywords | nonlinear filters | |
subject keywords | probability | |
subject keywords | target tracking | |
subject keywords | consensus iteration | |
subject keywords | likelihood consensus | |
subject keywords | networked nonlinear filtering | |
subject keywords | parallel consensus approach | |
subject keywords | probability distribution | |
subject keywords | sampling interval | |
subject keywords | target tracking | |
subject keywords | weighting factor | |
subject keywords | Bayes methods | |
subject keywords | Filtering | |
subject keywords | Probability density function | |
subject keywords | Probability distribution | |
subject keywords | Signal processing algorithms | |
subject keywords | State estimation | |
subject keywords | Target tracking | |
subject keywords | Consensus | |
subject keywords | distributed state estimation | |
subject keywords | nonlinear filtering | |
subject keywords | sensor networks | |
identifier doi | 10.1109/LSP.2014.2316258 | |
journal title | Signal Processing Letters, IEEE | |
journal volume | 21 | |
journal issue | 7 | |
filesize | 1075116 | |
citations | 0 |