KalmanSmootherLeastSquares
This program estimates temporal gravity field variations with a constraint least squares adjustment. Prior information is introduced by means of a autoregressiveModelSequence which represent a stationary random process (see the autoregressive model description) for details.
The output files for the estimated gravity field (outputfileSolution), the corresponding standard deviations (outputfileSigmax) and the full covariance matrix (outputfileCovariance) can be specified using loops. Similarly, the inputfileNormalEquations can also be specified using loops.
See also KalmanBuildNormals, KalmanFilter andKalmanSmoother
| Name | Type | Annotation |
|---|---|---|
outputfileSolution | filename | file name of solution vector (use time tags) |
outputfileSigmax | filename | file name of sigma vector (use time tags) |
outputfileCovariance | filename | file name of full covariance matrix (use time tags) |
inputfileNormalEquations | filename | input normal equations (loopTime will be expanded) |
autoregressiveModelSequence | autoregressiveModelSequence | file containing AR model for spatiotemporal constraint |