org.orekit.estimation.sequential

Class TLEKalmanModel

java.lang.Object

org.orekit.estimation.sequential.AbstractKalmanModel

org.orekit.estimation.sequential.TLEKalmanModel

All Implemented Interfaces:

NonLinearProcess<MeasurementDecorator>, KalmanEstimation

public class TLEKalmanModel
extends AbstractKalmanModel

Class defining the process model dynamics to use with a KalmanEstimator.

This class is an adaption of the KalmanModel class but for the TLE propagator.

Since:

11.0

Author:

Romain Gerbaud, Maxime Journot, Bryan Cazabonne, Thomas Paulet

Constructor Summary

Constructors

Constructor and Description
TLEKalmanModel(List<OrbitDeterminationPropagatorBuilder> propagatorBuilders, List<CovarianceMatrixProvider> covarianceMatricesProviders, ParameterDriversList estimatedMeasurementParameters, CovarianceMatrixProvider measurementProcessNoiseMatrix) Kalman process model constructor (package private).

Method Summary

Modifier and Type	Method and Description
protected void	analyticalDerivativeComputations(AbstractJacobiansMapper mapper, SpacecraftState state) Analytical computation of derivatives.
protected void	updateReferenceTrajectories(Propagator[] propagators, PropagationType pType, PropagationType sType) Update the reference trajectories using the propagators as input.

Methods inherited from class org.orekit.estimation.sequential.AbstractKalmanModel

finalizeEstimation, getBuilders, getCorrectedMeasurement, getCorrectedSpacecraftStates, getCurrentDate, getCurrentMeasurementNumber, getEstimate, getEstimatedMeasurementsParameters, getEstimatedOrbitalParameters, getEstimatedPropagationParameters, getEstimatedPropagators, getEvolution, getInnovation, getMappers, getPhysicalEstimatedCovarianceMatrix, getPhysicalEstimatedState, getPhysicalInnovationCovarianceMatrix, getPhysicalKalmanGain, getPhysicalMeasurementJacobian, getPhysicalStateTransitionMatrix, getPredictedMeasurement, getPredictedSpacecraftStates, getReferenceTrajectories, setMappers, setReferenceTrajectories

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TLEKalmanModel

public TLEKalmanModel(List<OrbitDeterminationPropagatorBuilder> propagatorBuilders,
                      List<CovarianceMatrixProvider> covarianceMatricesProviders,
                      ParameterDriversList estimatedMeasurementParameters,
                      CovarianceMatrixProvider measurementProcessNoiseMatrix)

Kalman process model constructor (package private).

Parameters:

propagatorBuilders - propagators builders used to evaluate the orbits.

covarianceMatricesProviders - providers for covariance matrices

estimatedMeasurementParameters - measurement parameters to estimate

measurementProcessNoiseMatrix - provider for measurement process noise matrix

Method Detail

updateReferenceTrajectories

@DefaultDataContext
protected void updateReferenceTrajectories(Propagator[] propagators,
                                                               PropagationType pType,
                                                               PropagationType sType)

Update the reference trajectories using the propagators as input.

Specified by:

updateReferenceTrajectories in class AbstractKalmanModel

Parameters:

propagators - The new propagators to use

pType - propagationType type of the orbit used for the propagation (mean or osculating)

sType - type of the elements used to define the orbital state (mean or osculating)

analyticalDerivativeComputations

@DefaultDataContext
protected void analyticalDerivativeComputations(AbstractJacobiansMapper mapper,
                                                                    SpacecraftState state)

Analytical computation of derivatives. This method allow to compute analytical derivatives.

Specified by:

analyticalDerivativeComputations in class AbstractKalmanModel

Parameters:

mapper - Jacobian mapper to calculate short period perturbations

state - state used to calculate short period perturbations