SemiAnalyticalKalmanEstimatorBuilder.java
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package org.orekit.estimation.sequential;
import org.hipparchus.linear.MatrixDecomposer;
import org.hipparchus.linear.QRDecomposer;
import org.orekit.errors.OrekitException;
import org.orekit.errors.OrekitMessages;
import org.orekit.propagation.conversion.DSSTPropagatorBuilder;
import org.orekit.utils.ParameterDriversList;
/** Builder for a Semi-analytical Kalman Filter.
* @author Julie Bayard
* @author Bryan Cazabonne
* @author Maxime Journot
* @since 11.1
*/
public class SemiAnalyticalKalmanEstimatorBuilder {
/** Decomposer to use for the correction phase. */
private MatrixDecomposer decomposer;
/** Builder for propagator. */
private DSSTPropagatorBuilder dsstPropagatorBuilder;
/** Process noise matrix provider. */
private CovarianceMatrixProvider processNoiseMatrixProvider;
/** Estimated measurements parameters. */
private ParameterDriversList estimatedMeasurementsParameters;
/** Process noise matrix provider for measurement parameters. */
private CovarianceMatrixProvider measurementProcessNoiseMatrix;
/** Default constructor.
* Set an Extended Semi-analytical Kalman Filter.
*/
public SemiAnalyticalKalmanEstimatorBuilder() {
this.decomposer = new QRDecomposer(1.0e-15);
this.dsstPropagatorBuilder = null;
this.processNoiseMatrixProvider = null;
this.estimatedMeasurementsParameters = new ParameterDriversList();
this.measurementProcessNoiseMatrix = null;
}
/** Construct a {@link KalmanEstimator} from the data in this builder.
* <p>
* Before this method is called, {@link #addPropagationConfiguration(DSSTPropagatorBuilder,
* CovarianceMatrixProvider) addPropagationConfiguration()} must have been called
* at least once, otherwise configuration is incomplete and an exception will be raised.
* </p>
* @return a new {@link KalmanEstimator}.
*/
public SemiAnalyticalKalmanEstimator build() {
if (dsstPropagatorBuilder == null) {
throw new OrekitException(OrekitMessages.NO_PROPAGATOR_CONFIGURED);
}
return new SemiAnalyticalKalmanEstimator(decomposer, dsstPropagatorBuilder, processNoiseMatrixProvider,
estimatedMeasurementsParameters, measurementProcessNoiseMatrix);
}
/** Configure the matrix decomposer.
* @param matrixDecomposer decomposer to use for the correction phase
* @return this object.
*/
public SemiAnalyticalKalmanEstimatorBuilder decomposer(final MatrixDecomposer matrixDecomposer) {
decomposer = matrixDecomposer;
return this;
}
/** Add a propagation configuration.
* <p>
* This method must be called once initialize the propagator builder
* used by the Kalman Filter.
* </p>
* @param builder The propagator builder to use in the Kalman filter.
* @param provider The process noise matrices provider to use, consistent with the builder.
* @return this object.
*/
public SemiAnalyticalKalmanEstimatorBuilder addPropagationConfiguration(final DSSTPropagatorBuilder builder,
final CovarianceMatrixProvider provider) {
dsstPropagatorBuilder = builder;
processNoiseMatrixProvider = provider;
return this;
}
/** Configure the estimated measurement parameters.
* <p>
* If this method is not called, no measurement parameters will be estimated.
* </p>
* @param estimatedMeasurementsParams The estimated measurements' parameters list.
* @param provider covariance matrix provider for the estimated measurement parameters
* @return this object.
*/
public SemiAnalyticalKalmanEstimatorBuilder estimatedMeasurementsParameters(final ParameterDriversList estimatedMeasurementsParams,
final CovarianceMatrixProvider provider) {
estimatedMeasurementsParameters = estimatedMeasurementsParams;
measurementProcessNoiseMatrix = provider;
return this;
}
}