Publication date: Available online 30 December 2013
Source:Physical Communication
Author(s): Xiaoyang Li , Qilian Liang , Francis C.M. Lau
In this paper, a method for through-wall human detection based on the singular values decomposition of the measurement matrices is presented. After demonstrating the sparsity of the matrices using CLEAN algorithm, an SVD algorithm based on Lanczos process is applied to compute their singular values. We also analyze the singular values of matrices constructed by difference square techniques for different types of walls and compare our algorithm with a 2-D imaging approach proposed by researchers in Time Domain Company. Detection results show that our method performs well in gypsum wall, brick wall, and wooden door.
Source:Physical Communication
Author(s): Xiaoyang Li , Qilian Liang , Francis C.M. Lau