Package org.orekit.estimation.sequential

package org.orekit.estimation.sequential

The sequential package provides an implementation of a Kalman Filter engine to perform an orbit determination.

Users will typically create one instance of this object, register all observation data as measurements with their included modifiers, and run the kalman filter. For each processed measurement, a fully configured propagator will be available, as well as all estimated parameters individually.

Related Packages

Package	Description
org.orekit.estimation	This package is the top level package for orbit determination.
org.orekit.estimation.iod	This package provides initial orbit determination methods.
org.orekit.estimation.leastsquares	The leastsquares package provides an implementation of a batch least squares estimator engine to perform an orbit determination.
org.orekit.estimation.measurements	The measurements package defines everything that is related to orbit determination measurements.

Class	Description
AbstractCovarianceMatrixProvider	Abstract provider handling a predefined initial covariance matrix.
AbstractKalmanEstimator	Base class for Kalman estimators.
ConstantProcessNoise	Provider for constant process noise matrices.
CovarianceMatrixProvider	Provider for process noise matrices.
KalmanEstimation	Interface for accessing Kalman filter estimations.
KalmanEstimator	Implementation of a Kalman filter to perform orbit determination.
KalmanEstimatorBuilder	Builder for a Kalman filter estimator.
KalmanEstimatorUtil	Utility class for Kalman Filter.
KalmanModel	Class defining the process model dynamics to use with a KalmanEstimator.
KalmanObserver	Observer for Kalman filter estimations.
MeasurementDecorator	Decorator adding Measurement API to an ObservedMeasurement.
PhysicalEstimatedState	Container for smoothed states (time, mean and covariance) generated by an RtsSmoother.
RtsSmoother	Perform an RTS (Rauch-Tung-Striebel) smoothing step over results from a sequential estimator.
SemiAnalyticalKalmanEstimator	Implementation of an Extended Semi-analytical Kalman Filter (ESKF) to perform orbit determination.
SemiAnalyticalKalmanEstimatorBuilder	Builder for a Semi-analytical Kalman Filter.
SemiAnalyticalKalmanModel	Process model to use with a SemiAnalyticalKalmanEstimator.
SemiAnalyticalMeasurementHandler	Step handler picking up measurements for both SemiAnalyticalUnscentedKalmanEstimator and SemiAnalyticalKalmanEstimator.
SemiAnalyticalProcess	Interface for both SemiAnalyticalUnscentedKalmanModel and SemiAnalyticalKalmanModel.
SemiAnalyticalUnscentedKalmanEstimator	Implementation of an Unscented Semi-analytical Kalman filter (USKF) to perform orbit determination.
SemiAnalyticalUnscentedKalmanEstimatorBuilder	Builder for an Unscented Semi-analytical Kalman filter estimator.
SemiAnalyticalUnscentedKalmanModel	Class defining the process model dynamics to use with a SemiAnalyticalUnscentedKalmanEstimator.
UnivariateProcessNoise	Provider for a temporal evolution of the process noise matrix.
UnscentedKalmanEstimator	Implementation of an Unscented Kalman filter to perform orbit determination.
UnscentedKalmanEstimatorBuilder	Builder for an Unscented Kalman filter estimator.
UnscentedKalmanModel	Class defining the process model dynamics to use with a UnscentedKalmanEstimator.