MeasurementNoise.java
/* Copyright 2022-2026 Romain Serra
* Licensed to CS GROUP (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,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.orekit.estimation.measurements.modifiers;
import java.util.ArrayList;
import java.util.List;
import org.hipparchus.random.CorrelatedRandomVectorGenerator;
import org.orekit.estimation.measurements.EstimatedMeasurementBase;
import org.orekit.estimation.measurements.EstimationModifier;
import org.orekit.estimation.measurements.ObservedMeasurement;
import org.orekit.utils.ParameterDriver;
/** Class modeling a measurement noise.
* @param <T> the type of the measurement
* @author Romain Serra
* @since 14.0
*/
public class MeasurementNoise<T extends ObservedMeasurement<T>> implements EstimationModifier<T> {
/** Random vector generator. */
private final CorrelatedRandomVectorGenerator randomVectorGenerator;
/** Simple constructor.
* @param randomVectorGenerator noise generator assumed to have a consistent dimension with measurement
*/
public MeasurementNoise(final CorrelatedRandomVectorGenerator randomVectorGenerator) {
this.randomVectorGenerator = randomVectorGenerator;
}
/** {@inheritDoc} */
@Override
public String getEffectName() {
return "noise";
}
/** {@inheritDoc} */
@Override
public List<ParameterDriver> getParametersDrivers() {
return new ArrayList<>();
}
/** {@inheritDoc} */
@Override
public void modifyWithoutDerivatives(final EstimatedMeasurementBase<T> estimated) {
final double[] value = estimated.getEstimatedValue();
final double[] noise = randomVectorGenerator.nextVector();
for (int i = 0; i < value.length; ++i) {
value[i] += noise[i];
}
estimated.modifyEstimatedValue(this, value);
}
}