Cart (Loading....) | Create Account
Close category search window
 

Square-root adaptive cubature Kalman filter with application to spacecraft attitude estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiaojun Tang ; Sch. of Aeronaut., Northwestern Polytech. Univ., Xi''an, China ; Jianli Wei ; Kai Chen

A novel nonlinear filter called square-root adaptive cubature Kalman filter is proposed to estimate the spacecraft attitude from vector measurements. The algorithm combines an adaptive process noise estimation with the square-root cubature Kalman filter, which has a consistently improved numerical stability because all the resulting covariance matrices are guaranteed to stay positive semi-definite. The process noise estimate for efficient square-root implementation is derived. The quaternion is used to describe the spacecraft attitude kinematics, while a three-dimensional generalized Rodrigues parameter is used to maintain the quaternion normalization constraint in the filter formulation. The simulation results indicate that the proposed filter provides lower attitude estimation errors with faster convergence rate than the square-root cubature Kalman filter.

Published in:

Information Fusion (FUSION), 2012 15th International Conference on

Date of Conference:

9-12 July 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.