Detection of Human's Motions through a Wall Using UWB Radar

Ultrawideband radar has been applied in the through-wall life detection since it has high spatial resolution and better wall-penetration capability. In this paper, we perform a through-wall detection of human's motions using UWB radar. We use local mean decomposition (LMD) method to process radar signals reflected from a moving person. LMD is a new iterative approach that decomposes modulated signals into a small set of product functions (PFs), each of which is the product of an amplitude envelope signal and a frequency-modulated signal. The PFs, the decomposed radar signals, are used to extract signatures of human motions. After processing the data using LMD, a cross-range fast Fourier Transform (FFT) is applied to each PF to distinguish the frequency characteristic of moving body parts. Based on the joint analysis of LMD and FFT, respiration, swinging arms and legs, and fluctuations of the torso included in the human's motion are extracted.