By Topic

Based on Adaptive Variable Rate Particle Filter Tracking Research in Wireless Sensor Networks

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

4 Author(s)
Zi-xi Jia ; Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Cheng-dong Wu ; Zhang Yun-zhou ; Yue Huang

Because the state model is too simple to capture the complicated trajectory, the traditional tracking algorithm can not track the moving people precisely. Simon J. Godsil and others improve particle filter to present variable rate particle filter, which employs more complicated model to track moving target, and samples state variables by changing sampling period. In this paper, we propose an adaptive variable rate particle filter algorithm for large-scale building fire rescue system to track trapped people. The algorithm can adaptively adjust the sampling period by comparing the relationship between particle value and measurement. According to our computer simulation, the method can improve the tracking accuracy, especially as the target trajectory has some drastic changes, we consider that the tracking algorithm is effective and practical.

Published in:

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Date of Conference:

24-26 Sept. 2009