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- W1768152053 abstract "A novel consensus approach to networked nonlinear filtering is introduced. The proposed approach is based on the idea of carrying out in parallel a consensus on likelihoods and a consensus on prior probability distributions and then combine the outcomes with a suitable weighting factor. Simulation experiments concerning a target tracking case-study show that the proposed consensus-based nonlinear filter can be convenient when only a few consensus iterations per sampling interval can be afforded." @default.
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- W1768152053 date "2014-07-01" @default.
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- W1768152053 title "Parallel Consensus on Likelihoods and Priors for Networked Nonlinear Filtering" @default.
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- W1768152053 doi "https://doi.org/10.1109/lsp.2014.2316258" @default.
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