Title :
Target localization via correlated link inference
Author :
Kuang, Renbing ; Song, Heping ; Wang, Guoli
Author_Institution :
Guangzhou Higher Educ. Mega Center, Sun Yat-Sen Univ., Guangzhou, China
Abstract :
We propose a new approach for target localization via correlated link inference. The proposed method takes advantage of the motion-induced difference of received signal strength(RSS) made in a wireless peer-to-peer network. By using the multipath channel model, the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving targets. The effect of target obstruction is dominated by RSS attenuation and RSS enhancement. We locate targets by imaging both RSS attenuation and RSS enhancement. Experimental results with 14 nodes RF sensor network deployed in indoor office environment are presented.
Keywords :
image processing; peer-to-peer computing; radio links; target tracking; wireless sensor networks; RF sensor network; RSS attenuation; RSS enhancement; correlated link inference; indoor office environment; motion-induced difference; multipath channel model; radio tomographic imaging; received signal strength; target localization; target obstruction; wireless link; wireless peer-to-peer network; Attenuation; Peer to peer computing; Shadow mapping; Tomography; Wireless communication; Wireless sensor networks; Correlated Link Inference; Device-Free Localization; Radio Tomographic Imaging;
Conference_Titel :
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8113-2
DOI :
10.1109/ICMA.2011.5985798
