BistaticModifierUtil.java

  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. import java.util.Arrays;

  19. import org.hipparchus.analysis.differentiation.Gradient;
  20. import org.orekit.estimation.measurements.EstimatedMeasurement;
  21. import org.orekit.estimation.measurements.EstimatedMeasurementBase;
  22. import org.orekit.estimation.measurements.GroundStation;
  23. import org.orekit.estimation.measurements.ObservedMeasurement;
  24. import org.orekit.propagation.FieldSpacecraftState;
  25. import org.orekit.propagation.SpacecraftState;
  26. import org.orekit.propagation.integration.AbstractGradientConverter;
  27. import org.orekit.utils.Differentiation;
  28. import org.orekit.utils.ParameterDriver;
  29. import org.orekit.utils.ParameterDriversProvider;
  30. import org.orekit.utils.TimeSpanMap.Span;

  31. /** Utility class for bistatic measurements.
  32.  * @author Pascal Parraud
  33.  * @since 11.2
  34.  */
  35. class BistaticModifierUtil {

  36.     /** Private constructor for utility class.*/
  37.     private BistaticModifierUtil() {
  38.         // not used
  39.     }

  40.     /** Apply a modifier to an estimated measurement.
  41.      * @param <T> type of the measurement
  42.      * @param estimated estimated measurement to modify
  43.      * @param emitter emitter station
  44.      * @param receiver receiver station
  45.      * @param modelEffect model effect
  46.      */
  47.     public static <T extends ObservedMeasurement<T>> void modify(final EstimatedMeasurementBase<T> estimated,
  48.                                                                  final GroundStation emitter, final GroundStation receiver,
  49.                                                                  final ParametricModelEffect modelEffect) {

  50.         // update estimated value taking into account the model effect.
  51.         // The model effect delay is directly added to the measurement.
  52.         final SpacecraftState state    = estimated.getStates()[0];
  53.         final double[]        newValue = estimated.getEstimatedValue().clone();
  54.         newValue[0] += modelEffect.evaluate(emitter, state);
  55.         newValue[0] += modelEffect.evaluate(receiver, state);
  56.         estimated.setEstimatedValue(newValue);

  57.     }

  58.     /** Apply a modifier to an estimated measurement.
  59.      * @param <T> type of the measurement
  60.      * @param estimated estimated measurement to modify
  61.      * @param emitter emitter station
  62.      * @param receiver receiver station
  63.      * @param converter gradient converter
  64.      * @param parametricModel parametric modifier model
  65.      * @param modelEffect model effect
  66.      * @param modelEffectGradient model effect gradient
  67.      */
  68.     public static <T extends ObservedMeasurement<T>> void modify(final EstimatedMeasurement<T> estimated,
  69.                                                                  final ParameterDriversProvider parametricModel,
  70.                                                                  final AbstractGradientConverter converter,
  71.                                                                  final GroundStation emitter, final GroundStation receiver,
  72.                                                                  final ParametricModelEffect modelEffect,
  73.                                                                  final ParametricModelEffectGradient modelEffectGradient) {

  74.         final SpacecraftState state    = estimated.getStates()[0];

  75.         // update estimated derivatives with Jacobian of the measure wrt state
  76.         final FieldSpacecraftState<Gradient> gState = converter.getState(parametricModel);
  77.         final Gradient[] gParameters = converter.getParameters(gState, parametricModel);

  78.         final Gradient delayUp = modelEffectGradient.evaluate(emitter, gState, gParameters);
  79.         final double[] derivativesUp = delayUp.getGradient();

  80.         final Gradient delayDown = modelEffectGradient.evaluate(receiver, gState, gParameters);
  81.         final double[] derivativesDown = delayDown.getGradient();

  82.         // update estimated derivatives with Jacobian of the measure wrt state
  83.         final double[][] stateDerivatives = estimated.getStateDerivatives(0);
  84.         for (int jcol = 0; jcol < stateDerivatives[0].length; ++jcol) {
  85.             stateDerivatives[0][jcol] += derivativesUp[jcol];
  86.             stateDerivatives[0][jcol] += derivativesDown[jcol];
  87.         }
  88.         estimated.setStateDerivatives(0, stateDerivatives);

  89.         int index = 0;
  90.         for (final ParameterDriver driver : parametricModel.getParametersDrivers()) {
  91.             if (driver.isSelected()) {
  92.                 for (Span<String> span = driver.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {

  93.                     // update estimated derivatives with derivative of the modification wrt model parameters
  94.                     double parameterDerivative  = estimated.getParameterDerivatives(driver, span.getStart())[0];
  95.                     parameterDerivative += derivativesUp[index + converter.getFreeStateParameters()];
  96.                     parameterDerivative += derivativesDown[index + converter.getFreeStateParameters()];
  97.                     estimated.setParameterDerivatives(driver, span.getStart(), parameterDerivative);
  98.                     index++;
  99.                 }
  100.             }

  101.         }

  102.         for (final ParameterDriver driver : Arrays.asList(emitter.getEastOffsetDriver(),
  103.                                                           emitter.getNorthOffsetDriver(),
  104.                                                           emitter.getZenithOffsetDriver())) {
  105.             if (driver.isSelected()) {
  106.                 for (Span<String> span = driver.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {

  107.                     // update estimated derivatives with derivative of the modification wrt station parameters
  108.                     double parameterDerivative = estimated.getParameterDerivatives(driver, span.getStart())[0];
  109.                     parameterDerivative += Differentiation.differentiate((d, t) -> modelEffect.evaluate(emitter, state),
  110.                                                                          3, 10.0 * driver.getScale()).value(driver, state.getDate());
  111.                     estimated.setParameterDerivatives(driver, span.getStart(), parameterDerivative);
  112.                 }
  113.             }
  114.         }

  115.         for (final ParameterDriver driver : Arrays.asList(receiver.getClockOffsetDriver(),
  116.                                                           receiver.getEastOffsetDriver(),
  117.                                                           receiver.getNorthOffsetDriver(),
  118.                                                           receiver.getZenithOffsetDriver())) {
  119.             if (driver.isSelected()) {
  120.                 for (Span<String> span = driver.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {

  121.                     // update estimated derivatives with derivative of the modification wrt station parameters
  122.                     double parameterDerivative = estimated.getParameterDerivatives(driver, span.getStart())[0];
  123.                     parameterDerivative += Differentiation.differentiate((d, t) -> modelEffect.evaluate(receiver, state),
  124.                                                                          3, 10.0 * driver.getScale()).value(driver, state.getDate());
  125.                     estimated.setParameterDerivatives(driver, span.getStart(), parameterDerivative);
  126.                 }
  127.             }
  128.         }

  129.         // modify the value
  130.         modify(estimated, emitter, receiver, modelEffect);

  131.     }

  132. }