EphemerisPropagatorBuilder.java
- /* Copyright 2022 Bryan Cazabonne
- * 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.
- * Bryan Cazabonne 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.propagation.conversion;
- import java.util.List;
- import org.orekit.attitudes.AttitudeProvider;
- import org.orekit.estimation.leastsquares.AbstractBatchLSModel;
- import org.orekit.estimation.leastsquares.BatchLSModel;
- import org.orekit.estimation.leastsquares.ModelObserver;
- import org.orekit.estimation.measurements.ObservedMeasurement;
- import org.orekit.estimation.sequential.AbstractKalmanModel;
- import org.orekit.estimation.sequential.CovarianceMatrixProvider;
- import org.orekit.estimation.sequential.KalmanModel;
- import org.orekit.orbits.PositionAngle;
- import org.orekit.propagation.Propagator;
- import org.orekit.propagation.SpacecraftState;
- import org.orekit.propagation.analytical.Ephemeris;
- import org.orekit.utils.ParameterDriversList;
- /** Builder for Ephemeris propagator.
- * @author Bryan Cazabonne
- * @since 11.3
- */
- public class EphemerisPropagatorBuilder extends AbstractPropagatorBuilder implements OrbitDeterminationPropagatorBuilder {
- /** Default position scale (not used for ephemeris based estimation). */
- private static final double DEFAULT_SCALE = 10.0;
- /** List of spacecraft states. */
- private final List<SpacecraftState> states;
- /** The extrapolation threshold beyond which the propagation will fail. **/
- private final double extrapolationThreshold;
- /** Number of points to use in interpolation. */
- private final int interpolationPoints;
- /** Attitude provider. */
- private final AttitudeProvider provider;
- /** Constructor.
- * @param states list of spacecraft states
- * @param interpolationPoints number of points to use in interpolation
- * @param extrapolationThreshold the extrapolation threshold beyond which the propagation will fail
- * @param attitudeProvider attitude provider
- */
- public EphemerisPropagatorBuilder(final List<SpacecraftState> states,
- final int interpolationPoints,
- final double extrapolationThreshold,
- final AttitudeProvider attitudeProvider) {
- super(states.get(0).getOrbit(), PositionAngle.TRUE, DEFAULT_SCALE, false, attitudeProvider);
- deselectDynamicParameters();
- this.states = states;
- this.interpolationPoints = interpolationPoints;
- this.extrapolationThreshold = extrapolationThreshold;
- this.provider = attitudeProvider;
- }
- /** {@inheritDoc}. */
- @Override
- public Propagator buildPropagator(final double[] normalizedParameters) {
- return new Ephemeris(states, interpolationPoints, extrapolationThreshold, provider);
- }
- /** {@inheritDoc} */
- @Override
- public AbstractBatchLSModel buildLSModel(final OrbitDeterminationPropagatorBuilder[] builders,
- final List<ObservedMeasurement<?>> measurements,
- final ParameterDriversList estimatedMeasurementsParameters,
- final ModelObserver observer) {
- return new BatchLSModel(builders, measurements, estimatedMeasurementsParameters, observer);
- }
- /** {@inheritDoc} */
- @Override
- public AbstractKalmanModel buildKalmanModel(final List<OrbitDeterminationPropagatorBuilder> propagatorBuilders,
- final List<CovarianceMatrixProvider> covarianceMatricesProviders,
- final ParameterDriversList estimatedMeasurementsParameters,
- final CovarianceMatrixProvider measurementProcessNoiseMatrix) {
- return new KalmanModel(propagatorBuilders, covarianceMatricesProviders, estimatedMeasurementsParameters, measurementProcessNoiseMatrix);
- }
- }