By Topic

Adaptive localization algorithm for movement of mobile node

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)
Sungchang Choi ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea ; Yonggyu Kim ; Joongsoo Ma

Existing localization algorithms which use Kalman filter for indoor environment fix noise covariance or change noise covariance by complicated filters. Since localization system does not reflect real environment around it, fixed noise covariance makes localization system unpractical. Also complicated filters limit the applications which localization algorithms can apply. In this paper, we propose a method that adaptively changes noise covariance. The proposed method recognizes changes of moving pattern based on results of localization, and then adjusts the noise covariance. In addition, the method varies localization period to catch up with changed mobile nodes's movement rapidly and reduce overhead caused by calculation of location when mobile node moves regular pattern. Simulation result from MATLAB shows the proposed method outperformed an algorithm which has constant localization period and noise covariance of Kalman filter by 30%.

Published in:

Advanced Communication Technology (ICACT), 2012 14th International Conference on

Date of Conference:

19-22 Feb. 2012