We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A Novel Motion Tracking System with Sparse Radio-Frequency Sensor Network

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)
Aidong Men ; Multimedia Technol. Center, Beijing Univ. of Posts & Telecommun., Beijing, China ; Guang Zhao ; Yun Zhou ; Yi Zheng

This paper presents a novel device-free motion tracking (DFMT) system using an RF sensor network with very few nodes. The system includes a newly designed measurement model and corresponding tracking algorithm. Based on the uniform theory of diffraction (UTD), we prove that the received signal strength (RSS) measurements can be separated into two parts, the long-term one and the short-term one, reflecting the shadowing and scattering effects of the target. Then a model considering both the two effects is proposed to obtain positions of target using RSS measurements, which expands the sensing range of each wireless link. Particle filtering algorithm is applied to perform tracking. Experiment results illustrates that the system works well with very few nodes in different settings.

Published in:

Vehicular Technology Conference (VTC Fall), 2012 IEEE

Date of Conference:

3-6 Sept. 2012