getEvolution(double, RealVector[], MeasurementDecorator) | | 97% | | 95% | 1 | 13 | 1 | 44 | 0 | 1 |
UnscentedKalmanModel(List, List, ParameterDriversList, CovarianceMatrixProvider) | | 99% | | 92% | 5 | 34 | 0 | 120 | 0 | 1 |
getPredictedMeasurements(RealVector[], MeasurementDecorator) | | 100% | | 100% | 0 | 4 | 0 | 14 | 0 | 1 |
getInnovation(MeasurementDecorator, RealVector, RealVector, RealMatrix) | | 100% | | 100% | 0 | 2 | 0 | 11 | 0 | 1 |
finalizeEstimation(ObservedMeasurement, ProcessEstimate) | | 100% | | 100% | 0 | 2 | 0 | 11 | 0 | 1 |
getPhysicalEstimatedState() | | 100% | | 100% | 0 | 4 | 0 | 12 | 0 | 1 |
predictStates(RealVector[], int) | | 100% | | 100% | 0 | 2 | 0 | 8 | 0 | 1 |
createPropagator(double[], int) | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
getEstimatedPropagators() | | 100% | | 100% | 0 | 2 | 0 | 4 | 0 | 1 |
getPredictedSpacecraftStates() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getCorrectedSpacecraftStates() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getPhysicalEstimatedCovarianceMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getPhysicalInnovationCovarianceMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getPhysicalKalmanGain() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getEstimate() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getEstimatedOrbitalParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getEstimatedPropagationParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getEstimatedMeasurementsParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getCurrentMeasurementNumber() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getCurrentDate() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getPredictedMeasurement() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getCorrectedMeasurement() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getPhysicalStateTransitionMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
getPhysicalMeasurementJacobian() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
lambda$predictStates$0(List) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |