Title :
An enhanced multi-scale model for shadow fading in radio tomographic imaging
Author :
Longwen Yang ; Kaide Huang ; Guoli Wang ; Xuemei Guo
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou, China
Abstract :
This paper focuses on the spatial inhomogeneity of shadow fading in radio tomographic imaging. An enhanced multi-scale model is developed to characterize the spatial inhomogeneity of shadow fading, which aims at offering an insight into the correlation between the spatial scales and the fading levels, thus enhances the capability of capturing the shadow fading components. It should be highlighted that, when the RSS value of a link increases significantly, the proposed model can predict the impossibility of LOS targets with high probability, which can benefit the accuracy improvement of localization. This is our new contribution to the existing multi-scale shadow fading models. The experimental results are reported to validate the proposed model in the context of target localization with radio tomographic imaging.
Keywords :
fading; image capture; probability; radio networks; tomography; LOS targets; RSS value; enhanced multiscale model; fading levels; localization accuracy improvement; radio tomographic imaging; shadow fading; spatial inhomogeneity; spatial scales; target localization; Automation; Educational institutions; Fading; Intelligent control; Nonhomogeneous media; Tomography; enhanced multi-scale model; radio tomographic imaging; spatial inhomogeneity; target localization;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053734