By Topic

Target tracking in wireless sensor networks using particle filter with quantized innovations

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)
Yang Weng ; Sch. of Math., Sichuan Univ., Chengdu, China ; Lihua Xie ; Chung Huat Tan ; Gee Wah Ng

Due to the bandwidth constraint of wireless sensor networks, there can be physical limitations in the communication links from sensors back to fusion center, or between sensors. In such cases, local data quantization/compression is not only a necessity, but also an integral part of the design of the sensor networks. In this paper, a target tracking approach using particle filter with quantized innovations in wireless sensor networks is proposed. The posterior Cramer-Rao lower bound for quantized innovation information received by fusion center is also given. The simulation results show the good performance of our proposed tracking approach. With a moderate small number of particles sampled at each step, we found that the tracking performance of particle filter is much better than the EKF, especially when the emitted power of each sensor is small.

Published in:

Information Fusion (FUSION), 2010 13th Conference on

Date of Conference:

26-29 July 2010