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 |
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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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