org.orekit.tutorials.yaml

Class TutorialKalman

java.lang.Object

org.orekit.tutorials.yaml.TutorialKalman

public class TutorialKalman
extends Object

Initial data for the kalman filter estimator.

Data are read from a YAML file.

Data contain the needed elements to initialize the Kalman filter (i.e. initial covariance and process noise matrices for the cartesian, propagation and measurement parameters).

Author:

Bryan Cazabonne

Constructor Summary

Constructors

Constructor and Description
TutorialKalman() Constructor.

Method Summary

Modifier and Type	Method and Description
double[]	getCartesianOrbitalP() Get the initial diagonal elements of the cartesian covariance matrix.
double[]	getCartesianOrbitalQ() Get the initial diagonal elements of the cartesian process noise matrix.
double[]	getMeasurementP() Get the initial diagonal elements of the measurement covariance matrix.
double[]	getMeasurementQ() Get the initial diagonal elements of the measurement process noise matrix.
double[]	getPropagationP() Get the initial diagonal elements of the propagation covariance matrix.
double[]	getPropagationQ() Get the initial diagonal elements of the propagation process noise matrix.
void	setCartesianOrbitalP(double[] cartesianOrbitalP) Set the initial diagonal elements of the cartesian covariance matrix.
void	setCartesianOrbitalQ(double[] cartesianOrbitalQ) Set the initial diagonal elements of the cartesian process noise matrix.
void	setMeasurementP(double[] measurementP) Set the initial diagonal elements of the measurement covariance matrix.
void	setMeasurementQ(double[] measurementQ) Set the initial diagonal elements of the measurement process noise matrix.
void	setPropagationP(double[] propagationP) Set the initial diagonal elements of the propagation covariance matrix.
void	setPropagationQ(double[] propagationQ) Set the initial diagonal elements of the propagation process noise matrix.

Methods inherited from class java.lang.Object

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

Constructor Detail

TutorialKalman

public TutorialKalman()

Constructor.

Method Detail

getCartesianOrbitalP

public double[] getCartesianOrbitalP()

Get the initial diagonal elements of the cartesian covariance matrix.

Returns:

the initial diagonal elements of the cartesian covariance matrix

setCartesianOrbitalP

public void setCartesianOrbitalP(double[] cartesianOrbitalP)

Set the initial diagonal elements of the cartesian covariance matrix.

Parameters:

cartesianOrbitalP - initial diagonal elements of the cartesian covariance matrix

getCartesianOrbitalQ

public double[] getCartesianOrbitalQ()

Get the initial diagonal elements of the cartesian process noise matrix.

Returns:

the initial diagonal elements of the cartesian process noise matrix

setCartesianOrbitalQ

public void setCartesianOrbitalQ(double[] cartesianOrbitalQ)

Set the initial diagonal elements of the cartesian process noise matrix.

Parameters:

cartesianOrbitalQ - initial diagonal elements of the cartesian process noise matrix

getPropagationP

public double[] getPropagationP()

Get the initial diagonal elements of the propagation covariance matrix.

Returns:

the initial diagonal elements of the propagation covariance matrix

setPropagationP

public void setPropagationP(double[] propagationP)

Set the initial diagonal elements of the propagation covariance matrix.

Parameters:

propagationP - initial diagonal elements of the propagation covariance matrix

getPropagationQ

public double[] getPropagationQ()

Get the initial diagonal elements of the propagation process noise matrix.

Returns:

the initial diagonal elements of the propagation process noise matrix

setPropagationQ

public void setPropagationQ(double[] propagationQ)

Set the initial diagonal elements of the propagation process noise matrix.

Parameters:

propagationQ - initial diagonal elements of the propagation process noise matrix

getMeasurementP

public double[] getMeasurementP()

Get the initial diagonal elements of the measurement covariance matrix.

Returns:

the initial diagonal elements of the measurement covariance matrix

setMeasurementP

public void setMeasurementP(double[] measurementP)

Set the initial diagonal elements of the measurement covariance matrix.

Parameters:

measurementP - initial diagonal elements of the measurement covariance matrix

getMeasurementQ

public double[] getMeasurementQ()

Get the initial diagonal elements of the measurement process noise matrix.

Returns:

the initial diagonal elements of the measurement process noise matrix

setMeasurementQ

public void setMeasurementQ(double[] measurementQ)

Set the initial diagonal elements of the measurement process noise matrix.

Parameters:

measurementQ - initial diagonal elements of the measurement process noise matrix