4. Estimator for a nonlinear or non-Gaussian dynamic state model
4.1 Introduction
The optimality of the Kalman filter depends on the linearity of the state-dynamic system. In practice, few systems are linear. Two solutions are therefore possible. The first is to approximate the system formed by the equations (5) and (7) by a linear state-dynamic system. By linearizing the state and measurement equations, the Kalman filter can be used...
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
Estimator for a nonlinear or non-Gaussian dynamic state model
Performance
Bibliography
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
Article included in this offer
"Radar technologies and their applications"
(
73 articles
)
Updated and enriched with articles validated by our scientific committees
A set of exclusive tools to complement the resources
