Micro-vibration distinguishment between humans and animals based on ensemble empirical mode decomposition using ultra-wide band radar

Abstract

Ultra-wide band (UWB) bio-radar attracts lots of researchers, due to its special advantages of non-contact detection. It is widely used in multiple applications such as medical monitoring, rescue and anti-terrorism missions nowadays. However, identifying the target after it was detected and located comes to be a more challenging task. The study aims to investigate the differences of the target characteristics between humans and animals based on ensemble empirical mode decomposition analysis and to test whether these differences can be distinguished. Finally, the authors proposed a new method to distinguish between humans and animals with 500 MHz UWB bio-radar detection system by calculating the energy ratio of micro-vibration signal in human breathing frequency band. Experimental results demonstrate that the energy ratio can be served as a useful parameter, which is promising to distinguish between humans and rabbits.

Keywords

• ultra wideband radar
• vibrations
• pneumodynamics
• radar detection
• remotely operated vehicles
• radar antennas
• ultra wideband communication
• ultra wideband antennas
• biomedical equipment
• patient monitoring
• ultra-wide band radar
• ultra-wide band bio-radar
• noncontact detection
• ensemble empirical mode decomposition analysis
• 500 mhz uwb bio-radar detection system
• microvibration signal
• human breathing frequency band
• microvibration distinguishment
• frequency 500.0 mhz