A detecting and identifying method for two stationary human targets using single-channel ultra-wideband radar

Abstract

A novel technique for single-channel ultra-wideband (UWB) radar to detect and identify two stationary human subjects in different positions is proposed in this article. To detect two stationary human targets accurately and get their life parameters precisely, space-frequency analysis is performed upon the preprocessed data in horizontal dimension and then a non-linear threshold is calculated for automatic identification. Experiments are conducted to evaluate the effectiveness of the proposed technique. In 61 data sets with two stationary human subjects, the accuracy of identification reaches 72%. The experimental results demonstrate the validity of our approach to detect and identify two stationary human subjects using single-channel UWB radar system. This technique may serve as a basis for further studies on a two-dimensional locator for multi-stationary human subjects via multi-channel UWB radar. © 2012 Zhang et al..