1   /* Copyright 2002-2021 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.generation;
18  
19  import org.hipparchus.random.CorrelatedRandomVectorGenerator;
20  import org.orekit.estimation.measurements.EstimationModifier;
21  import org.orekit.estimation.measurements.GroundStation;
22  import org.orekit.estimation.measurements.ObservableSatellite;
23  import org.orekit.estimation.measurements.RangeRate;
24  import org.orekit.propagation.SpacecraftState;
25  import org.orekit.time.AbsoluteDate;
26  import org.orekit.utils.ParameterDriver;
27  
28  
29  /** Builder for {@link RangeRate} measurements.
30   * @author Luc Maisonobe
31   * @since 9.3
32   */
33  public class RangeRateBuilder extends AbstractMeasurementBuilder<RangeRate> {
34  
35      /** Ground station from which measurement is performed. */
36      private final GroundStation station;
37  
38      /** Flag indicating whether it is a two-way measurement. */
39      private final boolean twoway;
40  
41      /** Simple constructor.
42       * @param noiseSource noise source, may be null for generating perfect measurements
43       * @param station ground station from which measurement is performed
44       * @param twoWay flag indicating whether it is a two-way measurement
45       * @param sigma theoretical standard deviation
46       * @param baseWeight base weight
47       * @param satellite satellite related to this builder
48       */
49      public RangeRateBuilder(final CorrelatedRandomVectorGenerator noiseSource,
50                              final GroundStation station, final boolean twoWay,
51                              final double sigma, final double baseWeight,
52                              final ObservableSatellite satellite) {
53          super(noiseSource, sigma, baseWeight, satellite);
54          this.station = station;
55          this.twoway  = twoWay;
56      }
57  
58      /** {@inheritDoc} */
59      @Override
60      public RangeRate build(final SpacecraftState[] states) {
61  
62          final ObservableSatellite satellite = getSatellites()[0];
63          final double sigma                  = getTheoreticalStandardDeviation()[0];
64          final double baseWeight             = getBaseWeight()[0];
65          final SpacecraftState[] relevant    = new SpacecraftState[] { states[satellite.getPropagatorIndex()] };
66  
67          // create a dummy measurement
68          final RangeRate dummy = new RangeRate(station, relevant[0].getDate(), Double.NaN, sigma, baseWeight, twoway, satellite);
69          for (final EstimationModifier<RangeRate> modifier : getModifiers()) {
70              dummy.addModifier(modifier);
71          }
72  
73          // set a reference date for parameters missing one
74          for (final ParameterDriver driver : dummy.getParametersDrivers()) {
75              if (driver.getReferenceDate() == null) {
76                  final AbsoluteDate start = getStart();
77                  final AbsoluteDate end   = getEnd();
78                  driver.setReferenceDate(start.durationFrom(end) <= 0 ? start : end);
79              }
80          }
81  
82          // estimate the perfect value of the measurement
83          double rangeRate = dummy.estimate(0, 0, relevant).getEstimatedValue()[0];
84  
85          // add the noise
86          final double[] noise = getNoise();
87          if (noise != null) {
88              rangeRate += noise[0];
89          }
90  
91          // generate measurement
92          final RangeRate measurement = new RangeRate(station, relevant[0].getDate(), rangeRate,
93                                                      sigma, baseWeight, twoway, satellite);
94          for (final EstimationModifier<RangeRate> modifier : getModifiers()) {
95              measurement.addModifier(modifier);
96          }
97          return measurement;
98  
99      }
100 
101 }