1 /* Copyright 2002-2022 CS GROUP
2 * Licensed to CS GROUP (CS) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * CS licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17 package org.orekit.estimation.sequential;
18
19 import java.util.List;
20
21 import org.orekit.propagation.MatricesHarvester;
22 import org.orekit.propagation.PropagationType;
23 import org.orekit.propagation.Propagator;
24 import org.orekit.propagation.conversion.OrbitDeterminationPropagatorBuilder;
25 import org.orekit.propagation.semianalytical.dsst.DSSTJacobiansMapper;
26 import org.orekit.propagation.semianalytical.dsst.DSSTPropagator;
27 import org.orekit.utils.ParameterDriversList;
28
29 /** Class defining the process model dynamics to use with a {@link KalmanEstimator}.
30 * <p>
31 * This class is an adaption of the {@link KalmanModel} class
32 * but for the {@link DSSTPropagator DSST propagator}.
33 * </p>
34 * @author Romain Gerbaud
35 * @author Maxime Journot
36 * @author Bryan Cazabonne
37 * @since 10.0
38 * @deprecated as of 11.1, replaced by {@link SemiAnalyticalKalmanModel}
39 */
40 @Deprecated
41 public class DSSTKalmanModel extends AbstractKalmanModel {
42
43 /** Kalman process model constructor.
44 * @param propagatorBuilders propagators builders used to evaluate the orbits.
45 * @param covarianceMatricesProviders providers for covariance matrices
46 * @param estimatedMeasurementParameters measurement parameters to estimate
47 * @param measurementProcessNoiseMatrix provider for measurement process noise matrix
48 * @param propagationType type of the orbit used for the propagation (mean or osculating)
49 * @param stateType type of the elements used to define the orbital state (mean or osculating)
50 */
51 public DSSTKalmanModel(final List<OrbitDeterminationPropagatorBuilder> propagatorBuilders,
52 final List<CovarianceMatrixProvider> covarianceMatricesProviders,
53 final ParameterDriversList estimatedMeasurementParameters,
54 final CovarianceMatrixProvider measurementProcessNoiseMatrix,
55 final PropagationType propagationType,
56 final PropagationType stateType) {
57 // call super constructor
58 super(propagatorBuilders, covarianceMatricesProviders, estimatedMeasurementParameters,
59 measurementProcessNoiseMatrix, new DSSTJacobiansMapper[propagatorBuilders.size()],
60 propagationType, stateType);
61 }
62
63 /** {@inheritDoc} */
64 @Override
65 protected void updateReferenceTrajectories(final Propagator[] propagators,
66 final PropagationType pType,
67 final PropagationType sType) {
68
69 // Update the reference trajectory propagator
70 setReferenceTrajectories(propagators);
71
72 // Jacobian mappers
73 final MatricesHarvester[] harvesters = new MatricesHarvester[propagators.length];
74
75 for (int k = 0; k < propagators.length; ++k) {
76 // Link the partial derivatives to this new propagator
77 final String equationName = KalmanEstimator.class.getName() + "-derivatives-" + k;
78 harvesters[k] = ((DSSTPropagator) getReferenceTrajectories()[k]).setupMatricesComputation(equationName, null, null);
79 }
80
81 // Update Jacobian harvesters
82 setHarvesters(harvesters);
83
84 }
85
86 }