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

The detection of a human being behind obstacles using radar technology has many promising applications, such as postdisaster 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, t...

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Bibliographic Details
Published inIEEE journal of selected topics in applied earth observations and remote sensing Vol. 14; pp. 6572 - 6584
Main Authors Rohman, Budiman P. A., Andra, Muhammad, Nishimoto, Masahiko
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Airborne radar
Ambient noise
Background noise
Clutter
Detection
Drone
Drones
Hovering
Information processing
Radar
Radar data
Radar detection
Radar signal processing
Respiration
respiration detection
Search and rescue
Search and rescue missions
Segregation
Signal processing
through-the-wall radar
ultra-wideband (UWB) impulse radar
Ultrawideband radar
unmanned aerial vehicle
Unmanned aerial vehicles
Vibration
vital sign detection
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Summary:The detection of a human being behind obstacles using radar technology has many promising applications, such as postdisaster 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 article 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.
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2021.3087668