Package org.orekit.estimation.sequential

Class SemiAnalyticalKalmanEstimatorBuilder

java.lang.Object
org.orekit.estimation.sequential.SemiAnalyticalKalmanEstimatorBuilder
public class SemiAnalyticalKalmanEstimatorBuilder extends Object
Builder for a Semi-analytical Kalman Filter.
Since:
11.1
Author:
Julie Bayard, Bryan Cazabonne, Maxime Journot

  • Constructor Details

    • SemiAnalyticalKalmanEstimatorBuilder

      public SemiAnalyticalKalmanEstimatorBuilder()
      Default constructor. Set an Extended Semi-analytical Kalman Filter.

  • Method Details

    • build

      public SemiAnalyticalKalmanEstimator build()
      Construct a KalmanEstimator from the data in this builder.

      Before this method is called, addPropagationConfiguration() must have been called at least once, otherwise configuration is incomplete and an exception will be raised.

      Returns:
      a new KalmanEstimator.

    • decomposer

      public SemiAnalyticalKalmanEstimatorBuilder decomposer(MatrixDecomposer matrixDecomposer)
      Configure the matrix decomposer.
      Parameters:
      matrixDecomposer - decomposer to use for the correction phase
      Returns:
      this object.

    • addPropagationConfiguration

      public SemiAnalyticalKalmanEstimatorBuilder addPropagationConfiguration(DSSTPropagatorBuilder builder, CovarianceMatrixProvider provider)
      Add a propagation configuration.

      This method must be called once initialize the propagator builder used by the Kalman Filter.

      Parameters:
      builder - The propagator builder to use in the Kalman filter.
      provider - The process noise matrices provider to use, consistent with the builder.
      Returns:
      this object.

    • estimatedMeasurementsParameters

      public SemiAnalyticalKalmanEstimatorBuilder estimatedMeasurementsParameters(ParameterDriversList estimatedMeasurementsParams, CovarianceMatrixProvider provider)
      Configure the estimated measurement parameters.

      If this method is not called, no measurement parameters will be estimated.

      Parameters:
      estimatedMeasurementsParams - The estimated measurements' parameters list.
      provider - covariance matrix provider for the estimated measurement parameters
      Returns:
      this object.