Uses of Interface
org.orekit.estimation.sequential.KalmanEstimation

Packages that use KalmanEstimation

Package	Description
org.orekit.estimation.sequential	The sequential package provides an implementation of a Kalman Filter engine to perform an orbit determination.

Uses of KalmanEstimation in org.orekit.estimation.sequential

Classes in org.orekit.estimation.sequential that implement KalmanEstimation

Modifier and Type	Class	Description
class	KalmanModel	Class defining the process model dynamics to use with a KalmanEstimator.
class	SemiAnalyticalKalmanModel	Process model to use with a SemiAnalyticalKalmanEstimator.
class	SemiAnalyticalUnscentedKalmanModel	Class defining the process model dynamics to use with a SemiAnalyticalUnscentedKalmanEstimator.
class	UnscentedKalmanModel	Class defining the process model dynamics to use with a UnscentedKalmanEstimator.

Methods in org.orekit.estimation.sequential that return KalmanEstimation

Modifier and Type	Method	Description
protected abstract KalmanEstimation	AbstractKalmanEstimator.getKalmanEstimation()	Get the provider for kalman filter estimations.
protected KalmanEstimation	KalmanEstimator.getKalmanEstimation()	Get the provider for kalman filter estimations.
protected KalmanEstimation	SemiAnalyticalKalmanEstimator.getKalmanEstimation()	Get the provider for kalman filter estimations.
protected KalmanEstimation	SemiAnalyticalUnscentedKalmanEstimator.getKalmanEstimation()	Get the provider for kalman filter estimations.
protected KalmanEstimation	UnscentedKalmanEstimator.getKalmanEstimation()	Get the provider for kalman filter estimations.

Methods in org.orekit.estimation.sequential with parameters of type KalmanEstimation

Modifier and Type	Method	Description
void	KalmanObserver.evaluationPerformed(KalmanEstimation estimation)	Notification callback after each one of a Kalman filter estimation.
void	RtsSmoother.evaluationPerformed(KalmanEstimation estimation)	Notification callback after each one of a Kalman filter estimation.
default void	KalmanObserver.init(KalmanEstimation estimation)	Initialise the observer on the initial state of the filter, before processing the first measurement.
void	RtsSmoother.init(KalmanEstimation estimation)	Initialise the observer on the initial state of the filter, before processing the first measurement.