org.orekit.estimation.sequential (ORbit Extrapolation KIT 11.1 API)

Interface Summary
Interface	Description
CovarianceMatrixProvider	Provider for process noise matrices.
KalmanEstimation	Interface for accessing `Kalman filter` estimations.
KalmanObserver	Observer for `Kalman filter` estimations.

Class Summary
Class	Description
AbstractCovarianceMatrixProvider	Abstract provider handling a predefined initial covariance matrix.
AbstractKalmanModel	Abstract class defining the process model dynamics to use with a `KalmanEstimator`.
ConstantProcessNoise	Provider for constant process noise matrices.
DSSTKalmanModel	Deprecated as of 11.1, replaced by `SemiAnalyticalKalmanModel`
EskfMeasurementHandler	`Step handler` picking up `measurements` for the `SemiAnalyticalKalmanEstimator`.
KalmanEstimator	Implementation of a Kalman filter to perform orbit determination.
KalmanEstimatorBuilder	Builder for a Kalman filter estimator.
KalmanModel	Class defining the process model dynamics to use with a `KalmanEstimator`.
MeasurementDecorator	Decorator adding `Measurement` API to an `ObservedMeasurement`.
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`.
TLEKalmanModel	Deprecated as of 11.1, replaced by `KalmanModel`
UnivariateProcessNoise	Provider for a temporal evolution of the process noise matrix.

Package org.orekit.estimation.sequential Description

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.