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

Packages that use CovarianceMatrixProvider

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

Uses of CovarianceMatrixProvider in org.orekit.estimation.sequential

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

Modifier and Type	Class and Description
class	AbstractCovarianceMatrixProvider Abstract provider handling a predefined initial covariance matrix.
class	ConstantProcessNoise Provider for constant process noise matrices.
class	UnivariateProcessNoise Provider for a temporal evolution of the process noise matrix.

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

Modifier and Type	Method and Description
SemiAnalyticalKalmanEstimatorBuilder	SemiAnalyticalKalmanEstimatorBuilder.addPropagationConfiguration(DSSTPropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.
SemiAnalyticalUnscentedKalmanEstimatorBuilder	SemiAnalyticalUnscentedKalmanEstimatorBuilder.addPropagationConfiguration(DSSTPropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.
KalmanEstimatorBuilder	KalmanEstimatorBuilder.addPropagationConfiguration(PropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.
UnscentedKalmanEstimatorBuilder	UnscentedKalmanEstimatorBuilder.addPropagationConfiguration(PropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.
KalmanEstimatorBuilder	KalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.
SemiAnalyticalKalmanEstimatorBuilder	SemiAnalyticalKalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.
SemiAnalyticalUnscentedKalmanEstimatorBuilder	SemiAnalyticalUnscentedKalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.
UnscentedKalmanEstimatorBuilder	UnscentedKalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.

Constructors in org.orekit.estimation.sequential with parameters of type CovarianceMatrixProvider

Constructor and Description
KalmanModel(List<PropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatricesProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman process model constructor.
SemiAnalyticalKalmanEstimator(org.hipparchus.linear.MatrixDecomposer decomposer, DSSTPropagatorBuilder propagatorBuilder, CovarianceMatrixProvider covarianceMatrixProvider, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman filter estimator constructor (package private).
SemiAnalyticalKalmanModel(DSSTPropagatorBuilder propagatorBuilder, CovarianceMatrixProvider covarianceMatrixProvider, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman process model constructor (package private).
SemiAnalyticalUnscentedKalmanModel(DSSTPropagatorBuilder propagatorBuilder, CovarianceMatrixProvider covarianceMatrixProvider, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Unscented Kalman process model constructor (package private).
UnscentedKalmanModel(List<PropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatrixProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Unscented Kalman process model constructor (package private).

Constructor parameters in org.orekit.estimation.sequential with type arguments of type CovarianceMatrixProvider

Constructor and Description
KalmanModel(List<PropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatricesProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman process model constructor.
UnscentedKalmanModel(List<PropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatrixProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Unscented Kalman process model constructor (package private).