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Published on: May 1, 2018
Searching for Survivors through Random Human-Body Movement Outdoors by Continuous-Wave Radar Array
Chuantao Li1, Fuming Chen1, Fugui Qi1
1Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
This study presents an omnidirectional Doppler radar system for detecting survivors by identifying respiration signals. The technology effectively distinguishes breathing movements from random body motion and environmental interference, aiding outdoor rescue efforts.
Area of Science:
- Engineering
- Biomedical Engineering
- Radar Technology
Background:
- Searching for survivors after disasters like chemical or nuclear events is challenging.
- Current biological radar systems struggle with detecting respiration signals due to random survivor positioning and body movements.
- The random posture of injured individuals can lead to radar waves irradiating extremities, hindering signal detection.
Purpose of the Study:
- To develop an omnidirectional detection system for locating survivors in challenging rescue environments.
- To overcome limitations of existing biological radar systems in detecting respiration signals amidst random body movements and positioning.
- To enhance the reliability of survivor detection in outdoor disaster scenarios.
Main Methods:
- Implementation of a multichannel-based antenna array technology with 24-GHz Doppler biological radar.
- Development of a method to identify random human-body movement using multichannel information and background variance calculation.
- Application of a constant-false-alarm-rate detector to filter out environmental interference.
Main Results:
- The developed system achieves omnidirectional detection of random human-body movement.
- The system successfully distinguishes subtle breathing movements from significant body movements and environmental noise (e.g., leaves, grass).
- Outdoor experiments validated the system's effectiveness in realistic rescue conditions.
Conclusions:
- The multichannel Doppler radar system offers a promising solution for omnidirectional survivor detection.
- The proposed methods effectively address challenges posed by random survivor positioning and body movements.
- This technology has significant potential for improving outdoor search and rescue operations.
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