Kalman-filtering-based angular velocity estimation using infrared attitude information of spacecraft

Yu Shi; X.-D. Zhang

doi:10.1117/1.602394

1 February 2000 Kalman-filtering-based angular velocity estimation using infrared attitude information of spacecraft

Yu Shi, X.-D. Zhang

Optical Engineering, Vol. 39, Issue 2, (February 2000). https://doi.org/10.1117/1.602394

We study the problem of estimating the spacecraft attitude angular velocity using the signal of the spacecraft attitude angular sensors such as the IR horizon sensor, the star sensor, and the full attitude global positioning systems (GPS) sensor for the first time. A signal state model is established. Based on the linear least mean squares (LMS) error criterion, recursive Kalman filtering is developed for the direct estimation of angular velocity. Our algorithm requires relatively few computations and relatively small storage quantities. Finally, the new algorithm is applied to a set of physical simulated IR data, and the results have the advantages of smaller time lag, higher accuracy, and perfect smoothness.

Citation Download Citation

Yu Shi and X.-D. Zhang "Kalman-filtering-based angular velocity estimation using infrared attitude information of spacecraft," Optical Engineering 39(2), (1 February 2000). https://doi.org/10.1117/1.602394

Published: 1 February 2000

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available