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    * contributor license agreements.  See the NOTICE file distributed with
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    * CS 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,
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  package org.orekit.estimation.measurements.generation;
  
  import org.hipparchus.linear.MatrixUtils;
  import org.hipparchus.linear.RealMatrix;
  import org.hipparchus.random.CorrelatedRandomVectorGenerator;
  import org.hipparchus.random.GaussianRandomGenerator;
  import org.hipparchus.random.RandomGenerator;
  import org.junit.jupiter.api.Test;
  import org.orekit.estimation.measurements.GroundStation;
  import org.orekit.estimation.measurements.ObservableSatellite;
  import org.orekit.estimation.measurements.RangeRate;
  import org.orekit.estimation.measurements.modifiers.Bias;
  
  public class RangeRateBuilderTest extends AbstractGroundMeasurementBuilderTest<RangeRate> {
  
      private static final double SIGMA = 0.01;
      private static final double BIAS  = 0.002;
  
      protected MeasurementBuilder<RangeRate> getBuilder(final RandomGenerator random,
                                                         final GroundStation groundStation,
                                                         final ObservableSatellite satellite) {
          final RealMatrix covariance = MatrixUtils.createRealDiagonalMatrix(new double[] { SIGMA * SIGMA });
          MeasurementBuilder<RangeRate> rrb =
                          new RangeRateBuilder(random == null ? null : new CorrelatedRandomVectorGenerator(covariance,
                                                                                                           1.0e-10,
                                                                                                           new GaussianRandomGenerator(random)),
                                               groundStation, true, SIGMA, 1.0, satellite);
          rrb.addModifier(new Bias<>(new String[] { "bias" },
                          new double[] { BIAS },
                          new double[] { 1.0 },
                          new double[] { Double.NEGATIVE_INFINITY },
                          new double[] { Double.POSITIVE_INFINITY }));
          return rrb;
      }
  
      @Test
      public void testForward() {
          doTest(0x02c925b8812d8992l, 0.4, 0.9, 128, 2.4 * SIGMA);
      }
  
      @Test
      public void testBackward() {
          doTest(0x34ce85d26d51cd91l, -0.2, -0.6, 100, 3.3 * SIGMA);
      }
  
  }