IEICE Transactions on Information and Systems
Special Section on the Architectures, Protocols, and Applications for the Future Internet
Dual-Band Sensor Network for Accurate Device-Free Localization in Indoor Environment with WiFi Interference
Manyi WANGZhonglei WANGEnjie DINGYun YANG
Author information
JOURNALS FREE ACCESS

Volume E98.D (2015) Issue 3 Pages 596-606

Details
Download PDF (2852K) Contact us
Abstract

Radio Frequency based Device-Free Localization (RFDFL) is an emerging localization technique without requirements of attaching any electronic device to a target. The target can be localized by means of measuring the shadowing of received signal strength caused by the target. However, the accuracy of RFDFL deteriorates seriously in environment with WiFi interference. State-of-the-art methods do not efficiently solve this problem. In this paper, we propose a dual-band method to improve the accuracy of RFDFL in environment without/with severe WiFi interference. We introduce an algorithm of fusing dual-band images in order to obtain an enhanced image inferring more precise location and propose a timestamp-based synchronization method to associate the dual-band images to ensure their one-one correspondence. With real-world experiments, we show that our method outperforms traditional single-band localization methods and improves the localization accuracy by up to 40.4% in real indoor environment with high WiFi interference.

Information related to the author
© 2015 The Institute of Electronics, Information and Communication Engineers
Previous article Next article

Recently visited articles
Journal news & Announcements
  • Please contact trans-d [a] ieice.org, if you want to unlock PDF security.
feedback
Top