Unscented Filtering from Delayed Observations with Correlated Noises
A filtering algorithm based on the unscented transformation is proposed to estimate the state of a nonlinear system from noisy measurements which can be randomly delayed by one sampling time. The state and observation noises are perturbed by correlated nonadditive noises, and the delay is modeled by...
Main Authors: | A. Hermoso-Carazo, J. Linares-Pérez |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2009-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2009/681593 |
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