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

Micro-satellite attitude determination: Using Kalman filtering of magnetometer data approach

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

2 Author(s)
Ho-Nien Shou ; Dept. of Aviation & Commun. Electron., Air Force Inst. of Technol., Kaohsiung, Taiwan ; Chen-Tsung Lin

This paper presents a new method using UKF(unscented Kalman filtering) for estimating the attitude-quaternion as well as rate with magnetic field data from Three-Axis-Magnetometer(TAM). UKF is a new filtering method suitable to nonlinear systems. The magnetic field components are used to update as measurement is used to propagate the state vector. A globally self-initializing attitude determination filter has been developed to estimate three-axis attitude and attitude rate from magnetometer data only. This filter can serve as the main attitude determination system for a low-weight, low-budget, low-accuracy micro-satellite mission. In this paper, we present a new algorithm without gyro to determine the attitude and attitude rate simultaneously. Numerical simulations are given at last, and the algorithm is confirmed to be feasible and effective.

Published in:

Computer Communication Control and Automation (3CA), 2010 International Symposium on  (Volume:2 )

Date of Conference:

5-7 May 2010

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.