Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering
Publisher:
Year
: 2014DOI: 10.1109/LSP.2014.2316258
Keyword(s): 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
Collections
:
-
Statistics
Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering
Show full item record
| 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 | https://libsearch.um.ac.ir:443/fum/handle/fum/1129049?locale-attribute=en | |
| 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 |