AbstractAmbiguityModifier.java
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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.estimation.measurements.EstimatedMeasurementBase;
import org.orekit.utils.ParameterDriver;
import org.orekit.utils.TimeSpanMap.Span;
/**
* 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 doModifyWithoutDerivatives(final EstimatedMeasurementBase<?> estimated) {
// Apply the ambiguity to the measurement value
for (Span<String> span = ambiguity.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {
final double[] value = estimated.getEstimatedValue();
value[0] += ambiguity.getValue(span.getStart());
estimated.setEstimatedValue(value);
}
}
/** Modify measurement.
* @param estimated measurement to modify
*/
protected void doModify(final EstimatedMeasurement<?> estimated) {
// apply the ambiguity to the measurement derivatives
for (Span<String> span = ambiguity.getNamesSpanMap().getFirstSpan(); span != null; span = span.next()) {
if (ambiguity.isSelected()) {
// add the partial derivatives
estimated.setParameterDerivatives(ambiguity, span.getStart(), 1.0);
}
}
// apply the ambiguity to the measurement value
doModifyWithoutDerivatives(estimated);
}
}