Searching for Survivors through Random Human-Body Movement Outdoors by Continuous-Wave Radar Array

Autor: Zhao Li, Guohua Lu, Chuantao Li, Fuming Chen, Fulai Liang, Miao Liu, Fugui Qi, Xijing Jing, Jianqi Wang
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Computer science
lcsh:Medicine
02 engineering and technology
law.invention
Remote Sensing
law
Abdomen
0202 electrical engineering
electronic engineering
information engineering
Medicine and Health Sciences
Rescue Work
Computer vision
Survivors
Radar
lcsh:Science
Musculoskeletal System
Multidisciplinary
Physics
Detector
Body movement
Plants
Continuous-wave radar
Data Acquisition
Background Noise (Acoustics)
Physical Sciences
symbols
Engineering and Technology
Anatomy
Radioactive Hazard Release
Doppler effect
Research Article
Computer and Information Sciences
Chemical Hazard Release
Movement
0206 medical engineering
Equipment
Antenna array
symbols.namesake
Seismic Signal Processing
Accidents
Occupational
Humans
Grasses
Omnidirectional antenna
Communication Equipment
business.industry
lcsh:R
Organisms
Biology and Life Sciences
020206 networking & telecommunications
Acoustics
020601 biomedical engineering
Signal Processing
lcsh:Q
Antennas
Artificial intelligence
business
Zdroj: PLoS ONE
PLoS ONE, Vol 11, Iss 4, p e0152201 (2016)
ISSN: 1932-6203
Popis: It is a major challenge to search for survivors after chemical or nuclear leakage or explosions. At present, biological radar can be used to achieve this goal by detecting the survivor’s respiration signal. However, owing to the random posture of an injured person at a rescue site, the radar wave may directly irradiate the person’s head or feet, in which it is difficult to detect the respiration signal. This paper describes a multichannel-based antenna array technology, which forms an omnidirectional detection system via 24-GHz Doppler biological radar, to address the random positioning relative to the antenna of an object to be detected. Furthermore, since the survivors often have random body movement such as struggling and twitching, the slight movements of the body caused by breathing are obscured by these movements. Therefore, a method is proposed to identify random human-body movement by utilizing multichannel information to calculate the background variance of the environment in combination with a constant-false-alarm-rate detector. The conducted outdoor experiments indicate that the system can realize the omnidirectional detection of random human-body movement and distinguish body movement from environmental interference such as movement of leaves and grass. The methods proposed in this paper will be a promising way to search for survivors outdoors.
Databáze: OpenAIRE
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