DSSTBatchLSModel.java

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package org.orekit.estimation.leastsquares;

import java.util.List;

import org.orekit.estimation.measurements.ObservedMeasurement;
import org.orekit.orbits.Orbit;
import org.orekit.propagation.PropagationType;
import org.orekit.propagation.Propagator;
import org.orekit.propagation.SpacecraftState;
import org.orekit.propagation.conversion.OrbitDeterminationPropagatorBuilder;
import org.orekit.propagation.integration.AbstractJacobiansMapper;
import org.orekit.propagation.semianalytical.dsst.DSSTJacobiansMapper;
import org.orekit.propagation.semianalytical.dsst.DSSTPartialDerivativesEquations;
import org.orekit.propagation.semianalytical.dsst.DSSTPropagator;
import org.orekit.utils.ParameterDriversList;

/** Bridge between {@link ObservedMeasurement measurements} and {@link
 * org.hipparchus.optim.nonlinear.vector.leastsquares.LeastSquaresProblem
 * least squares problems}.
 * <p>
 * This class is an adaption of the {@link BatchLSModel} class
 * but for the {@link DSSTPropagator DSST propagator}.
 * </p>
 * @author Luc Maisonobe
 * @author Bryan Cazabonne
 * @since 10.0
 *
 */
public class DSSTBatchLSModel extends AbstractBatchLSModel {

    /** Type of the orbit used for the propagation.*/
    private PropagationType propagationType;

    /** Type of the elements used to define the orbital state.*/
    private PropagationType stateType;

    /** Simple constructor.
     * @param propagatorBuilders builders to use for propagation
     * @param measurements measurements
     * @param estimatedMeasurementsParameters estimated measurements parameters
     * @param observer observer to be notified at model calls
     * @param propagationType type of the orbit used for the propagation (mean or osculating)
     * @param stateType type of the elements used to define the orbital state (mean or osculating)
     */
    public DSSTBatchLSModel(final OrbitDeterminationPropagatorBuilder[] propagatorBuilders,
                            final List<ObservedMeasurement<?>> measurements,
                            final ParameterDriversList estimatedMeasurementsParameters,
                            final ModelObserver observer,
                            final PropagationType propagationType,
                            final PropagationType stateType) {
        // call super constructor
        super(propagatorBuilders, measurements, estimatedMeasurementsParameters,
              new DSSTJacobiansMapper[propagatorBuilders.length], observer);
        this.propagationType = propagationType;
        this.stateType       = stateType;
    }

    /** {@inheritDoc} */
    @Override
    protected DSSTJacobiansMapper configureDerivatives(final Propagator propagator) {

        final String equationName = DSSTBatchLSModel.class.getName() + "-derivatives";

        final DSSTPartialDerivativesEquations partials = new DSSTPartialDerivativesEquations(equationName, (DSSTPropagator) propagator, propagationType);

        // add the derivatives to the initial state
        final SpacecraftState rawState = propagator.getInitialState();
        final SpacecraftState stateWithDerivatives = partials.setInitialJacobians(rawState);
        ((DSSTPropagator) propagator).setInitialState(stateWithDerivatives, stateType);

        return partials.getMapper();

    }

    /** {@inheritDoc} */
    @Override
    protected Orbit configureOrbits(final AbstractJacobiansMapper mapper,
                                    final Propagator propagator) {
        // Cast
        final DSSTPropagator dsstPropagator = (DSSTPropagator) propagator;
        // Mean orbit
        final SpacecraftState initial = dsstPropagator.initialIsOsculating() ?
                       DSSTPropagator.computeMeanState(dsstPropagator.getInitialState(), dsstPropagator.getAttitudeProvider(), dsstPropagator.getAllForceModels()) :
                       dsstPropagator.getInitialState();
        // Compute short period derivatives at the beginning of the iteration
        ((DSSTJacobiansMapper) mapper).setShortPeriodJacobians(initial);
        return initial.getOrbit();
    }

}