Uses of Interface
org.orekit.estimation.sequential.CovarianceMatrixProvider
Packages that use CovarianceMatrixProvider
Package
Description
The sequential package provides an implementation of a
Kalman Filter engine to perform an orbit determination.
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Uses of CovarianceMatrixProvider in org.orekit.estimation.sequential
Classes in org.orekit.estimation.sequential that implement CovarianceMatrixProviderModifier and TypeClassDescriptionclassAbstract provider handling a predefined initial covariance matrix.classProvider for constant process noise matrices.classProvider for a temporal evolution of the process noise matrix.Methods in org.orekit.estimation.sequential with parameters of type CovarianceMatrixProviderModifier and TypeMethodDescriptionKalmanEstimatorBuilder.addPropagationConfiguration(PropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.SemiAnalyticalKalmanEstimatorBuilder.addPropagationConfiguration(DSSTPropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.SemiAnalyticalUnscentedKalmanEstimatorBuilder.addPropagationConfiguration(DSSTPropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.UnscentedKalmanEstimatorBuilder.addPropagationConfiguration(PropagatorBuilder builder, CovarianceMatrixProvider provider) Add a propagation configuration.KalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.SemiAnalyticalKalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.SemiAnalyticalUnscentedKalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.UnscentedKalmanEstimatorBuilder.estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider) Configure the estimated measurement parameters.Constructors in org.orekit.estimation.sequential with parameters of type CovarianceMatrixProviderModifierConstructorDescriptionKalmanModel(List<PropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatricesProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman process model constructor.SemiAnalyticalKalmanEstimator(MatrixDecomposer decomposer, DSSTPropagatorBuilder propagatorBuilder, CovarianceMatrixProvider covarianceMatrixProvider, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman filter estimator constructor (package private).protectedSemiAnalyticalKalmanModel(DSSTPropagatorBuilder propagatorBuilder, CovarianceMatrixProvider covarianceMatrixProvider, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman process model constructor (package private).protectedSemiAnalyticalUnscentedKalmanModel(DSSTPropagatorBuilder propagatorBuilder, CovarianceMatrixProvider covarianceMatrixProvider, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Unscented Kalman process model constructor (package private).protectedUnscentedKalmanModel(List<PropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatricesProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Unscented Kalman process model constructor (package private).