Package | Description |
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org.orekit.estimation.sequential |
The sequential package provides an implementation of a
Kalman Filter engine to perform an orbit determination.
|
Modifier and Type | Method and Description |
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static MeasurementDecorator |
KalmanEstimatorUtil.decorate(ObservedMeasurement<?> observedMeasurement,
AbsoluteDate referenceDate)
Decorate an observed measurement.
|
static MeasurementDecorator |
KalmanEstimatorUtil.decorateUnscented(ObservedMeasurement<?> observedMeasurement,
AbsoluteDate referenceDate)
Decorate an observed measurement for an Unscented Kalman Filter.
|
Modifier and Type | Method and Description |
---|---|
org.hipparchus.filtering.kalman.unscented.UnscentedEvolution |
UnscentedKalmanModel.getEvolution(double previousTime,
org.hipparchus.linear.RealVector[] sigmaPoints,
MeasurementDecorator measurement) |
org.hipparchus.filtering.kalman.unscented.UnscentedEvolution |
SemiAnalyticalUnscentedKalmanModel.getEvolution(double previousTime,
org.hipparchus.linear.RealVector[] sigmaPoints,
MeasurementDecorator measurement) |
org.hipparchus.filtering.kalman.extended.NonLinearEvolution |
KalmanModel.getEvolution(double previousTime,
org.hipparchus.linear.RealVector previousState,
MeasurementDecorator measurement) |
org.hipparchus.filtering.kalman.extended.NonLinearEvolution |
SemiAnalyticalKalmanModel.getEvolution(double previousTime,
org.hipparchus.linear.RealVector previousState,
MeasurementDecorator measurement) |
org.hipparchus.linear.RealVector |
KalmanModel.getInnovation(MeasurementDecorator measurement,
org.hipparchus.filtering.kalman.extended.NonLinearEvolution evolution,
org.hipparchus.linear.RealMatrix innovationCovarianceMatrix) |
org.hipparchus.linear.RealVector |
SemiAnalyticalKalmanModel.getInnovation(MeasurementDecorator measurement,
org.hipparchus.filtering.kalman.extended.NonLinearEvolution evolution,
org.hipparchus.linear.RealMatrix innovationCovarianceMatrix) |
org.hipparchus.linear.RealVector |
UnscentedKalmanModel.getInnovation(MeasurementDecorator measurement,
org.hipparchus.linear.RealVector predictedMeas,
org.hipparchus.linear.RealVector predictedState,
org.hipparchus.linear.RealMatrix innovationCovarianceMatrix) |
org.hipparchus.linear.RealVector |
SemiAnalyticalUnscentedKalmanModel.getInnovation(MeasurementDecorator measurement,
org.hipparchus.linear.RealVector predictedMeas,
org.hipparchus.linear.RealVector predictedState,
org.hipparchus.linear.RealMatrix innovationCovarianceMatrix) |
org.hipparchus.linear.RealVector[] |
UnscentedKalmanModel.getPredictedMeasurements(org.hipparchus.linear.RealVector[] predictedSigmaPoints,
MeasurementDecorator measurement) |
org.hipparchus.linear.RealVector[] |
SemiAnalyticalUnscentedKalmanModel.getPredictedMeasurements(org.hipparchus.linear.RealVector[] predictedSigmaPoints,
MeasurementDecorator measurement) |
Modifier and Type | Method and Description |
---|---|
DSSTPropagator |
SemiAnalyticalKalmanModel.processMeasurements(List<ObservedMeasurement<?>> observedMeasurements,
org.hipparchus.filtering.kalman.extended.ExtendedKalmanFilter<MeasurementDecorator> filter)
Process a single measurement.
|
DSSTPropagator |
SemiAnalyticalUnscentedKalmanModel.processMeasurements(List<ObservedMeasurement<?>> observedMeasurements,
org.hipparchus.filtering.kalman.unscented.UnscentedKalmanFilter<MeasurementDecorator> filter)
Process measurements.
|
Constructor and Description |
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SemiAnalyticalMeasurementHandler(SemiAnalyticalProcess model,
org.hipparchus.filtering.kalman.KalmanFilter<MeasurementDecorator> filter,
List<ObservedMeasurement<?>> observedMeasurements,
AbsoluteDate referenceDate)
Simple constructor.
|
SemiAnalyticalMeasurementHandler(SemiAnalyticalProcess model,
org.hipparchus.filtering.kalman.KalmanFilter<MeasurementDecorator> filter,
List<ObservedMeasurement<?>> observedMeasurements,
AbsoluteDate referenceDate,
boolean isUnscented)
Simple constructor.
|
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