ConstantProcessNoise.java
/* Copyright 2002-2019 CS Systèmes d'Information
* Licensed to CS Systèmes d'Information (CS) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* CS licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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*/
package org.orekit.estimation.sequential;
import org.hipparchus.linear.RealMatrix;
import org.orekit.propagation.SpacecraftState;
/** Provider for constant process noise matrices.
* <p>
* This class always provides one initial noise matrix and
* one constant process noise matrix (both can be identical),
* regardless of states.
* </p>
* @author Luc Maisonobe
* @since 9.2
*/
public class ConstantProcessNoise extends AbstractCovarianceMatrixProvider {
/** Constant process noise. */
private final RealMatrix processNoiseMatrix;
/** Simple constructor.
* @param processNoiseMatrix constant process noise, used for both initial noise
* and noise between previous and current state
*/
public ConstantProcessNoise(final RealMatrix processNoiseMatrix) {
this(processNoiseMatrix, processNoiseMatrix);
}
/** Simple constructor.
* @param initialNoiseMatrix initial process noise
* @param processNoiseMatrix constant process noise
*/
public ConstantProcessNoise(final RealMatrix initialNoiseMatrix, final RealMatrix processNoiseMatrix) {
super(initialNoiseMatrix);
this.processNoiseMatrix = processNoiseMatrix;
}
/** {@inheritDoc} */
@Override
public RealMatrix getProcessNoiseMatrix(final SpacecraftState previous,
final SpacecraftState current) {
return processNoiseMatrix;
}
}