Title :
A refinement algorithm for device-free localization with RF sensor networks
Author_Institution :
The Department of Mathematics, Southeast University, Nanjing, 210096, P.R. China
Abstract :
Device-free localization (DFL) is an emerging technology using received signal strength (RSS) measurements. This technology use radio frequency (RF) signals to detect the deployment area and can image the attenuation caused by targets in wireless sensor networks. So these networks are called RF sensor networks. In this paper, based on compressed sensing theory, we present an efficient algorithm, named refinement algorithm to localize one target. Experiments show that the refinement algorithm achieves high localization accuracy and leads to advantages in computational complexity.
Keywords :
Attenuation; Conferences; Matching pursuit algorithms; Radio frequency; Tomography; Wireless sensor networks; compressed sensing; device-free localization; refinement algorithm; wireless sensor networks;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260655