Package org.orekit.estimation.sequential
Interface CovarianceMatrixProvider
-
- All Known Implementing Classes:
AbstractCovarianceMatrixProvider
,ConstantProcessNoise
,UnivariateProcessNoise
public interface CovarianceMatrixProvider
Provider for process noise matrices.- Since:
- 9.2
- Author:
- Luc Maisonobe
-
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description RealMatrix
getInitialCovarianceMatrix(SpacecraftState initial)
Get the initial covariance matrix.RealMatrix
getProcessNoiseMatrix(SpacecraftState previous, SpacecraftState current)
Get the process noise matrix between previous and current states.
-
-
-
Method Detail
-
getInitialCovarianceMatrix
RealMatrix getInitialCovarianceMatrix(SpacecraftState initial)
Get the initial covariance matrix.The initial covariance matrix is a covariance matrix corresponding to the parameters managed by the
Kalman estimator
. The number of rows/columns and their order are as follows:- The first 6 components correspond to the 6 orbital parameters of the associated propagator. All 6 parameters must always be present, regardless of the fact they are estimated or not.
- The following components correspond to the subset of propagation parameters of the associated propagator that are estimated.
- The remaining components correspond to the subset of measurements parameters that are estimated, considering all measurements, even the ones that correspond to spacecrafts not related to the associated propagator
In most cases, the initial covariance matrix will be the output matrix of a previous run of the Kalman filter.
- Parameters:
initial
- initial state state- Returns:
- physical (i.e. non normalized) initial covariance matrix
- See Also:
PropagatorBuilder.getOrbitalParametersDrivers()
,PropagatorBuilder.getPropagationParametersDrivers()
-
getProcessNoiseMatrix
RealMatrix getProcessNoiseMatrix(SpacecraftState previous, SpacecraftState current)
Get the process noise matrix between previous and current states.The process noise matrix is a covariance matrix corresponding to the parameters managed by the
Kalman estimator
. The number of rows/columns and their order are as follows:- The first 6 components correspond to the 6 orbital parameters of the associated propagator. All 6 parameters must always be present, regardless of the fact they are estimated or not.
- The following components correspond to the subset of propagation parameters of the associated propagator that are estimated.
- The remaining components correspond to the subset of measurements parameters that are estimated, considering all measurements, even the ones that correspond to spacecrafts not related to the associated propagator
In most cases, the process noise for the part corresponding to measurements (the final rows and columns) will be set to 0 for the process noise corresponding to the evolution between a non-null previous and current state.
- Parameters:
previous
- previous statecurrent
- current state- Returns:
- physical (i.e. non normalized) process noise matrix between previous and current states
- See Also:
PropagatorBuilder.getOrbitalParametersDrivers()
,PropagatorBuilder.getPropagationParametersDrivers()
-
-