ABSTRACT
ABSTRACT Single-frame and filtering algorithms are two standalone techniques for attitude estimation. Single-frame methods use the measurements obtained at a single point in time and fuse the information from sensors to optimally determine the attitude of the spacecraft. On the other hand, the filtering methods use the spacecraft dynamics information together with the measurements obtained over a period of time to sequentially estimate the spacecraft’s attitude. Filtering methods are usually capable of providing more accurate attitude estimates than the single-frame methods and can provide estimates even when there are insufficient measurements for single-frame methods to work. In this chapter, we investigate
26.1 Introduction .........................................................................................................................464 26.2 Modeling the Satellite’s Motion ..........................................................................................465
