Projection-based state estimation using noisy destination

Projection-based state estimation using noisy destination

The problem of state estimation with a destination constraint using the noisy prior information of the destination is investigated. With the utilisation of constraint information in estimation system, the estimation accuracy can be significantly enhanced. A projection-based constrained state estimat...

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Bibliographic Details
Main Authors: Chang Zhou, Keyi Li, Gongjian Zhou
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
kalman filters
nonlinear filters
monte carlo methods
state estimation
estimation system
estimation accuracy
state estimation method
unscented kalman filter
unconstrained estimation
taylor series expansion
destination constraint
projection method
unconstraint estimate
constraint surface
projection-based state estimation
noisy destination
noisy prior information
constraint information
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0728

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0728

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