Class UnscentedKalmanEstimator


  • public class UnscentedKalmanEstimator
    extends AbstractKalmanEstimator
    Implementation of an Unscented Kalman filter to perform orbit determination.

    The filter uses a PropagatorBuilder to initialize its reference trajectory.

    The estimated parameters are driven by ParameterDriver objects. They are of 3 different types:

    1. Orbital parameters:The position and velocity of the spacecraft, or, more generally, its orbit.
      These parameters are retrieved from the reference trajectory propagator builder when the filter is initialized.
    2. Propagation parameters: Some parameters modelling physical processes (SRP or drag coefficients etc...).
      They are also retrieved from the propagator builder during the initialization phase.
    3. Measurements parameters: Parameters related to measurements (station biases, positions etc...).
      They are passed down to the filter in its constructor.

    The total number of estimated parameters is m, the size of the state vector.

    The Kalman filter implementation used is provided by the underlying mathematical library Hipparchus.

    An UnscentedKalmanEstimator object is built using the build method of a UnscentedKalmanEstimatorBuilder. The builder is generalized to accept any PropagatorBuilder. Howerver, it is absolutely not recommended to use a DSSTPropagatorBuilder. A specific semi-analytical unscented Kalman Filter is implemented and shall be used.

    Since:
    11.3
    Author:
    Gaƫtan Pierre, Bryan Cazabonne
    • Method Detail

      • setObserver

        public void setObserver​(KalmanObserver observer)
        Set the observer.
        Parameters:
        observer - the observer
      • estimationStep

        public Propagator[] estimationStep​(ObservedMeasurement<?> observedMeasurement)
        Process a single measurement.

        Update the filter with the new measurement by calling the estimate method.

        Parameters:
        observedMeasurement - the measurement to process
        Returns:
        estimated propagator
      • processMeasurements

        public Propagator[] processMeasurements​(Iterable<ObservedMeasurement<?>> observedMeasurements)
        Process several measurements.
        Parameters:
        observedMeasurements - the measurements to process in chronologically sorted order
        Returns:
        estimated propagator