KeplerianPropagatorBuilder.java

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package org.orekit.propagation.conversion;

import java.util.List;

import org.orekit.attitudes.AttitudeProvider;
import org.orekit.attitudes.InertialProvider;
import org.orekit.estimation.leastsquares.AbstractBatchLSModel;
import org.orekit.estimation.leastsquares.BatchLSModel;
import org.orekit.estimation.leastsquares.ModelObserver;
import org.orekit.estimation.measurements.ObservedMeasurement;
import org.orekit.estimation.sequential.AbstractKalmanModel;
import org.orekit.estimation.sequential.CovarianceMatrixProvider;
import org.orekit.estimation.sequential.KalmanModel;
import org.orekit.orbits.Orbit;
import org.orekit.orbits.PositionAngle;
import org.orekit.propagation.Propagator;
import org.orekit.propagation.analytical.KeplerianPropagator;
import org.orekit.utils.ParameterDriversList;

/** Builder for Keplerian propagator.
 * @author Pascal Parraud
 * @since 6.0
 */
public class KeplerianPropagatorBuilder extends AbstractPropagatorBuilder implements OrbitDeterminationPropagatorBuilder {

    /** Build a new instance.
     * <p>
     * The template orbit is used as a model to {@link
     * #createInitialOrbit() create initial orbit}. It defines the
     * inertial frame, the central attraction coefficient, the orbit type, and is also
     * used together with the {@code positionScale} to convert from the {@link
     * org.orekit.utils.ParameterDriver#setNormalizedValue(double) normalized} parameters used by the
     * callers of this builder to the real orbital parameters.
     * </p>
     *
     * @param templateOrbit reference orbit from which real orbits will be built
     * @param positionAngle position angle type to use
     * @param positionScale scaling factor used for orbital parameters normalization
     * (typically set to the expected standard deviation of the position)
     * @since 8.0
     * @see #KeplerianPropagatorBuilder(Orbit, PositionAngle, double, AttitudeProvider)
     */
    public KeplerianPropagatorBuilder(final Orbit templateOrbit, final PositionAngle positionAngle,
                                      final double positionScale) {
        this(templateOrbit, positionAngle, positionScale,
                InertialProvider.of(templateOrbit.getFrame()));
    }

    /** Build a new instance.
     * <p>
     * The template orbit is used as a model to {@link
     * #createInitialOrbit() create initial orbit}. It defines the
     * inertial frame, the central attraction coefficient, the orbit type, and is also
     * used together with the {@code positionScale} to convert from the {@link
     * org.orekit.utils.ParameterDriver#setNormalizedValue(double) normalized} parameters used by the
     * callers of this builder to the real orbital parameters.
     * </p>
     * @param templateOrbit reference orbit from which real orbits will be built
     * @param positionAngle position angle type to use
     * @param positionScale scaling factor used for orbital parameters normalization
     * (typically set to the expected standard deviation of the position)
     * @param attitudeProvider attitude law to use.
     * @since 10.1
     */
    public KeplerianPropagatorBuilder(final Orbit templateOrbit,
                                      final PositionAngle positionAngle,
                                      final double positionScale,
                                      final AttitudeProvider attitudeProvider) {
        super(templateOrbit, positionAngle, positionScale, true, attitudeProvider);
    }

    /** {@inheritDoc} */
    public Propagator buildPropagator(final double[] normalizedParameters) {
        setParameters(normalizedParameters);
        return new KeplerianPropagator(createInitialOrbit(), getAttitudeProvider());
    }

    /** {@inheritDoc} */
    @Override
    public AbstractBatchLSModel buildLSModel(final OrbitDeterminationPropagatorBuilder[] builders,
                                             final List<ObservedMeasurement<?>> measurements,
                                             final ParameterDriversList estimatedMeasurementsParameters,
                                             final ModelObserver observer) {
        return new BatchLSModel(builders, measurements, estimatedMeasurementsParameters, observer);
    }

    /** {@inheritDoc} */
    @Override
    public AbstractKalmanModel buildKalmanModel(final List<OrbitDeterminationPropagatorBuilder> propagatorBuilders,
                                                final List<CovarianceMatrixProvider> covarianceMatricesProviders,
                                                final ParameterDriversList estimatedMeasurementsParameters,
                                                final CovarianceMatrixProvider measurementProcessNoiseMatrix) {
        return new KalmanModel(propagatorBuilders, covarianceMatricesProviders, estimatedMeasurementsParameters, measurementProcessNoiseMatrix);
    }

}