Through-the-Wall Human Respiration Detection Using UWB Impulse Radar on Hovering Drone

Abstract

The detection of a human being behind obstacles using radar technology has many promising applications, such as post-disaster search and rescue missions. In the case of large observation areas, the use of an unmanned aerial vehicle as the moving platform for radar is an appealing approach. However, this task is challenging because human vital signs provide a relatively weak signal compared with background noise and clutter. The drone's instability also negatively affects the obtained radar signal. Thus, this paper presents a new signal processing method to extract and enhance respiration signals from drone-mounted radar. The method works by extracting the analytic signal representation and applying the subspace component segregation. Laboratory experiments in a controlled environment show that the proposed method can suppress a considerable level of vibration generated by unbalanced motor motion and enhance the respiration signal from radar data. A field experimental study using an octocopter in hovering mode confirms the method performs well in real-world conditions. Index Terms-vital sign detection, respiration detection, through-the-wall radar, ultra-wideband impulse radar, drone, unmanned aerial vehicle I. INTRODUCTION atural disasters occur frequently and can result in both material and non-material losses [1,2]. In catastrophic cases, large areas are affected with a huge number of victims. Post-disaster search and rescue (SAR) missions play a vital role in evacuating many live survivors quickly, thereby reducing the potential death toll. Advanced technology is necessary to support this mission [3,4].Notably, the use of unmanned aerial vehicles or drones for SAR missions in post-disaster environments is of interest to

[Retracted] Motion Control and Tracking Control of UAV Based on Adaptive Sensor

“…As an aerial IoT device, UAV has many different characteristics from low-orbit satellites and ground networks. UAV has lower path loss and is very beneficial to wireless transmission in the Internet of Things because of its on-demand deployment in hover mode [4]. However, the excessive dependence of the cellular Internet of Things on ground infrastructure is not conducive to the deployment of the Internet of Things in remote areas and disaster areas.…”

Multiple Stationary Human Targets Detection in Through-Wall UWB Radar Based on Convolutional Neural Network

“…UWB radar is widely used in ground-penetrating radar (GPR), through-wall imaging, post-earthquake rescue, and so on, due to its high range resolution and high penetration capability [1][2][3][4][5][6][7]. The frequently benefitted waveforms in UWB radar literature are short impulses [8][9][10][11], pseudo-random coded signals [12][13][14][15], frequencymodulated continuous wave (FMCW) signals [16][17][18][19][20], and stepped-frequency continuous wave (SFCW) signals [21][22][23][24]. UWB impulse radar has been increasingly adopted by researchers for human target detection due to its simple structure, low-cost, and low power consumption [25][26][27].…”

Soil Water Content Estimation With the Presence of Vegetation Using Ultra Wideband Radar-Drone

“…Recently, the integration of the GPR system on the drone is exciting research, and many studies in this field have been performed, i.e., landmine detection [36][37][38], snow cover mapping [39], human detection [40], and earth surface survey [41]. In this paper, the integration of UWB radar and hexacopter drone is proposed as a method for measuring the soil water content of plantation areas.…”