1   /* Copyright 2002-2024 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.measurements.modifiers;
18  
19  import java.util.Arrays;
20  
21  import org.hipparchus.analysis.differentiation.Gradient;
22  import org.orekit.estimation.measurements.EstimatedMeasurement;
23  import org.orekit.estimation.measurements.EstimatedMeasurementBase;
24  import org.orekit.estimation.measurements.EstimationModifier;
25  import org.orekit.estimation.measurements.GroundStation;
26  import org.orekit.estimation.measurements.ObservedMeasurement;
27  import org.orekit.propagation.FieldSpacecraftState;
28  import org.orekit.propagation.SpacecraftState;
29  import org.orekit.propagation.integration.AbstractGradientConverter;
30  import org.orekit.utils.Differentiation;
31  import org.orekit.utils.ParameterDriver;
32  import org.orekit.utils.ParameterDriversProvider;
33  import org.orekit.utils.TimeSpanMap.Span;
34  
35  /** Utility class for bistatic measurements.
36   * @author Pascal Parraud
37   * @since 11.2
38   */
39  class BistaticModifierUtil {
40  
41      /** Private constructor for utility class.*/
42      private BistaticModifierUtil() {
43          // not used
44      }
45  
46      /** Apply a modifier to an estimated measurement.
47       * @param <T> type of the measurement
48       * @param estimated estimated measurement to modify
49       * @param emitter emitter station
50       * @param receiver receiver station
51       * @param modelEffect model effect
52       * @deprecated as of 12.1, replaced by {@link #modify(EstimatedMeasurementBase,
53       * GroundStation, GroundStation, ParametricModelEffect, EstimationModifier)}
54       */
55      @Deprecated
56      public static <T extends ObservedMeasurement<T>> void modify(final EstimatedMeasurementBase<T> estimated,
57                                                                   final GroundStation emitter, final GroundStation receiver,
58                                                                   final ParametricModelEffect modelEffect) {
59          modify(estimated, emitter, receiver, modelEffect, null);
60      }
61  
62      /** Apply a modifier to an estimated measurement.
63       * @param <T> type of the measurement
64       * @param estimated estimated measurement to modify
65       * @param emitter emitter station
66       * @param receiver receiver station
67       * @param modelEffect model effect
68       * @param modifier applied modifier
69       * @since 12.1
70       */
71      public static <T extends ObservedMeasurement<T>> void modify(final EstimatedMeasurementBase<T> estimated,
72                                                                   final GroundStation emitter, final GroundStation receiver,
73                                                                   final ParametricModelEffect modelEffect,
74                                                                   final EstimationModifier<T> modifier) {
75  
76          // update estimated value taking into account the model effect.
77          // The model effect delay is directly added to the measurement.
78          final SpacecraftState state    = estimated.getStates()[0];
79          final double[]        newValue = estimated.getEstimatedValue().clone();
80          newValue[0] += modelEffect.evaluate(emitter, state);
81          newValue[0] += modelEffect.evaluate(receiver, state);
82          estimated.modifyEstimatedValue(modifier, newValue);
83  
84      }
85  
86      /** Apply a modifier to an estimated measurement.
87       * @param <T> type of the measurement
88       * @param estimated estimated measurement to modify
89       * @param emitter emitter station
90       * @param receiver receiver station
91       * @param converter gradient converter
92       * @param parametricModel parametric modifier model
93       * @param modelEffect model effect
94       * @param modelEffectGradient model effect gradient
95       * @deprecated as of 12.1, replaced by {@link #modify(EstimatedMeasurement,
96       * ParameterDriversProvider, AbstractGradientConverter, GroundStation, GroundStation,
97       * ParametricModelEffect, ParametricModelEffectGradient, EstimationModifier)}
98       */
99      @Deprecated
100     public static <T extends ObservedMeasurement<T>> void modify(final EstimatedMeasurement<T> estimated,
101                                                                  final ParameterDriversProvider parametricModel,
102                                                                  final AbstractGradientConverter converter,
103                                                                  final GroundStation emitter, final GroundStation receiver,
104                                                                  final ParametricModelEffect modelEffect,
105                                                                  final ParametricModelEffectGradient modelEffectGradient) {
106         modify(estimated, parametricModel, converter, emitter, receiver, modelEffect, modelEffectGradient, null);
107     }
108 
109     /** Apply a modifier to an estimated measurement.
110      * @param <T> type of the measurement
111      * @param estimated estimated measurement to modify
112      * @param emitter emitter station
113      * @param receiver receiver station
114      * @param converter gradient converter
115      * @param parametricModel parametric modifier model
116      * @param modelEffect model effect
117      * @param modelEffectGradient model effect gradient
118      * @param modifier applied modifier
119      * @since 12.1
120      */
121     public static <T extends ObservedMeasurement<T>> void modify(final EstimatedMeasurement<T> estimated,
122                                                                  final ParameterDriversProvider parametricModel,
123                                                                  final AbstractGradientConverter converter,
124                                                                  final GroundStation emitter, final GroundStation receiver,
125                                                                  final ParametricModelEffect modelEffect,
126                                                                  final ParametricModelEffectGradient modelEffectGradient,
127                                                                  final EstimationModifier<T> modifier) {
128 
129         final SpacecraftState state    = estimated.getStates()[0];
130 
131         // update estimated derivatives with Jacobian of the measure wrt state
132         final FieldSpacecraftState<Gradient> gState = converter.getState(parametricModel);
133         final Gradient[] gParameters = converter.getParameters(gState, parametricModel);
134 
135         final Gradient delayUp = modelEffectGradient.evaluate(emitter, gState, gParameters);
136         final double[] derivativesUp = delayUp.getGradient();
137 
138         final Gradient delayDown = modelEffectGradient.evaluate(receiver, gState, gParameters);
139         final double[] derivativesDown = delayDown.getGradient();
140 
141         // update estimated derivatives with Jacobian of the measure wrt state
142         final double[][] stateDerivatives = estimated.getStateDerivatives(0);
143         for (int jcol = 0; jcol < stateDerivatives[0].length; ++jcol) {
144             stateDerivatives[0][jcol] += derivativesUp[jcol];
145             stateDerivatives[0][jcol] += derivativesDown[jcol];
146         }
147         estimated.setStateDerivatives(0, stateDerivatives);
148 
149         int index = 0;
150         for (final ParameterDriver driver : parametricModel.getParametersDrivers()) {
151             if (driver.isSelected()) {
152                 for (Span<String> span = driver.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {
153 
154                     // update estimated derivatives with derivative of the modification wrt model parameters
155                     double parameterDerivative  = estimated.getParameterDerivatives(driver, span.getStart())[0];
156                     parameterDerivative += derivativesUp[index + converter.getFreeStateParameters()];
157                     parameterDerivative += derivativesDown[index + converter.getFreeStateParameters()];
158                     estimated.setParameterDerivatives(driver, span.getStart(), parameterDerivative);
159                     index++;
160                 }
161             }
162 
163         }
164 
165         for (final ParameterDriver driver : Arrays.asList(emitter.getEastOffsetDriver(),
166                                                           emitter.getNorthOffsetDriver(),
167                                                           emitter.getZenithOffsetDriver())) {
168             if (driver.isSelected()) {
169                 for (Span<String> span = driver.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {
170 
171                     // update estimated derivatives with derivative of the modification wrt station parameters
172                     double parameterDerivative = estimated.getParameterDerivatives(driver, span.getStart())[0];
173                     parameterDerivative += Differentiation.differentiate((d, t) -> modelEffect.evaluate(emitter, state),
174                                                                          3, 10.0 * driver.getScale()).value(driver, state.getDate());
175                     estimated.setParameterDerivatives(driver, span.getStart(), parameterDerivative);
176                 }
177             }
178         }
179 
180         for (final ParameterDriver driver : Arrays.asList(receiver.getClockOffsetDriver(),
181                                                           receiver.getEastOffsetDriver(),
182                                                           receiver.getNorthOffsetDriver(),
183                                                           receiver.getZenithOffsetDriver())) {
184             if (driver.isSelected()) {
185                 for (Span<String> span = driver.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {
186 
187                     // update estimated derivatives with derivative of the modification wrt station parameters
188                     double parameterDerivative = estimated.getParameterDerivatives(driver, span.getStart())[0];
189                     parameterDerivative += Differentiation.differentiate((d, t) -> modelEffect.evaluate(receiver, state),
190                                                                          3, 10.0 * driver.getScale()).value(driver, state.getDate());
191                     estimated.setParameterDerivatives(driver, span.getStart(), parameterDerivative);
192                 }
193             }
194         }
195 
196         // modify the value
197         modify(estimated, emitter, receiver, modelEffect, modifier);
198 
199     }
200 
201 }