AbstractAmbiguityModifier.java

/* Copyright 2002-2021 CS GROUP
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 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * 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
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package org.orekit.estimation.measurements.modifiers;

import java.util.Collections;
import java.util.List;

import org.hipparchus.util.FastMath;
import org.orekit.estimation.measurements.EstimatedMeasurement;
import org.orekit.utils.ParameterDriver;

/**
 * Base class for phase ambiguity modifier.
 * @author Bryan Cazabonne
 * @author Luc Maisonobe
 * @since 10.3
 */
public class AbstractAmbiguityModifier {

    /** Ambiguity scale factor.
     * <p>
     * We use a power of 2 to avoid numeric noise introduction
     * in the multiplications/divisions sequences.
     * </p>
     */
    private static final double AMBIGUITY_SCALE = FastMath.scalb(1.0, 26);

    /** Ambiguity parameter. */
    private final ParameterDriver ambiguity;

    /** Constructor.
     * @param key key to identify the ambiguity
     * @param ambiguity initial value of ambiguity
     */
    public AbstractAmbiguityModifier(final int key, final double ambiguity) {
        this.ambiguity = new ParameterDriver("ambiguity-" + key, ambiguity, AMBIGUITY_SCALE,
                                             Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY);
    }

    /** Get the drivers for this modifier.
     * @return drivers for this modifier
     */
    protected List<ParameterDriver> getDrivers() {
        return Collections.singletonList(ambiguity);
    }

    /** Modify measurement.
     * @param estimated measurement to modify
     */
    protected void doModify(final EstimatedMeasurement<?> estimated) {
        // Apply the ambiguity to the measurement value
        final double[] value = estimated.getEstimatedValue();
        value[0] += ambiguity.getValue();
        if (ambiguity.isSelected()) {
            // add the partial derivatives
            estimated.setParameterDerivatives(ambiguity, 1.0);
        }
        estimated.setEstimatedValue(value);
    }

}