An Algorithm Based Wavelet Entropy for Shadowing Effect of Human Detection Using Ultra-Wideband Bio-Radar.

Huijun Xue,Hao Lv,Miao Liu,Fugui Qi,Fuming Chen,Yang Zhang,Jianqi Wang,Fulai Liang

doi:10.3390/s17102255

Abstract

Ultra-wide band (UWB) radar for short-range human target detection is widely used to find and locate survivors in some rescue missions after a disaster. The results of the application of bistatic UWB radar for detecting multi-stationary human targets have shown that human targets close to the radar antennas are very often visible, while those farther from radar antennas are detected with less reliability. In this paper, on account of the significant difference of frequency content between the echo signal of the human target and that of noise in the shadowing region, an algorithm based on wavelet entropy is proposed to detect multiple targets. Our findings indicate that the entropy value of human targets was much lower than that of noise. Compared with the method of adaptive filtering and the energy spectrum, wavelet entropy can accurately detect the person farther from the radar antennas, and it can be employed as a useful tool in detecting multiple targets by bistatic UWB radar.

Highlights

In recent years, the application of ultra-wideband (UWB) radar for remote sensing of human beings at short ranges through walls and ruins has led to a range of intensive studies [1,2,3]
In order to demonstrate the capability of the wavelet entropy algorithm to detect multi-stationary human targets, the adaptive filter algorithm and power spectrum were used as references
In the case of multi-stationary human target detection through a brick wall using bistatic Ultra-wide band (UWB) radar, since the person closest to radar antennas partially reflects the energy of the electromagnetic wave, the person farther from the radar antennas is not detected accurately, especially when in the shadowing region of the closest person

Summary

Introduction

The application of ultra-wideband (UWB) radar for remote sensing of human beings at short ranges through walls and ruins has led to a range of intensive studies [1,2,3]. Sensors 2017, 17, 2255 multiple stationary human targets through walls have been carried out and the detection results have shown that bistatic UWB radar is able to accurately detect targets who are closest to the radar antennas only, whereas other farther targets are not able to be detected accurately. This is mainly attributed to three factors. The shadowing region; and (c) target A stood at 3 m in front of the radar antennas

Signal

Wavelet Entropy Algorithm

Figure

Experiment Results and Discussion

Conclusions