A numerically well-behaved factorized methodology is developed for estimating spacecraft sensor alignments from prelaunch and inflight data without the need to compute the spacecraft attitude or angular velocity. Such a methodology permits the estimation of sensor alignments (or other biases) in a framework free of unknown dynamical variables. In actual mission implementation such an algorithm is usually better behaved than one that must compute sensor alignments simultaneously with the spacecraft attitude, for example by means of a Kalman filter. In particular, such a methodology is less sensitive to data dropouts of long duration, and the derived measurement used in the attitude-independent algorithm usually makes data checking and editing of outliers much simpler than would be the case in the filter.
Spacecraft alignment estimation
Abschaetzung der Ausrichtung von Raumfahrzeugen
1988
4 Seiten, 5 Quellen
Conference paper
English
Spacecraft alignment estimation
NTRS | 1988
|Spacecraft Actuator Alignment Estimation
British Library Conference Proceedings | 2009
|Spacecraft Actuator Alignment Estimation
AIAA | 2009
|Batch and filter approaches to spacecraft sensor alignment estimation
British Library Online Contents | 1997
|Batch and filter approaches to spacecraft sensor alignment estimation
British Library Conference Proceedings | 1997
|