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Optical Engineering

Kalman-filtering-based angular velocity estimation using infrared attitude information of spacecraft
Author(s): Yu Shi; X.-D. Zhang
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Paper Abstract

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.

Paper Details

Date Published: 1 February 2000
PDF: 7 pages
Opt. Eng. 39(2) doi: 10.1117/1.602394
Published in: Optical Engineering Volume 39, Issue 2
Show Author Affiliations
Yu Shi, Tsinghua Univ. (China)
X.-D. Zhang, Tsinghua University (China)


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