By Topic

Optimal four-sample and two-time iteration algorithm for SINS attitude updating

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
$33 $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)
Tong Zhang ; College of Automation, Northwestern Polytechnic University, Xi'an, 710072, China ; Jun Zhang ; Wen-lin Li

The intention of this paper is to propose the optimal four-sample and two-time iteration algorithm for SINS attitude updating which is based on the criteria of the minimum of the cone error. The comparison among three-sample and four-sample rotation vector algorithm drifts of single loop and three-sample and four-sample algorithm drifts of double loop was made. Results show that the optimal four-sample and two-time iteration algorithm outperforms others in case of high-frequency coning motion. Therefore, it can be concluded that the accuracy of the new attitude algorithm has been improved.

Published in:

Information and Automation (ICIA), 2010 IEEE International Conference on

Date of Conference:

20-23 June 2010