Sense-through-wall human detection using the UWB radar with sparse SVD

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 the CLEAN algorithm, an SVD algorithm based on the 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 the gypsum wall, brick wall, and wooden door.