Abstract
Human respiration is the basic vital sign in remote monitoring. There has been remarkable progress in this area, but some challenges still remain to obtain the angle-of-arrival (AOA) and distinguish the individual signals. This paper presents a 2D noncontact human respiration localization method using Ultra-Wideband (UWB) 1D linear antenna array. The imaging reconstruction based on beamforming is used to estimate the AOA of the human chest. The distance-slow time 2D matrix at the estimated AOA is processed to obtain the distance and respiration frequency of the vital sign. The proposed method can be used to isolate signals from individual targets when more than one human object is located in the surveillance space. The feasibility of the proposed method is demonstrated via the simulation and experiment results.
Highlights
Impulse Ultra-Wideband (UWB) radar technology has become more and more attractive to the researchers of microwave sensing and imaging
When two or more targets are located in the field of view, it will be more challenging to isolate signals from individual targets. It generally extracts the respiration frequency and range without the information of the angle-of-arrival (AOA). Another challenge is the interference caused by the random body movement, which results in low signal-to-noise ratio (SNR) in practical applications
With 2D finite-difference time-domain (FDTD) method, the received signals from the displacement of human chest were simulated for a SIMO system with one transmitting antenna and nine receiving antennas
Summary
Impulse Ultra-Wideband (UWB) radar technology has become more and more attractive to the researchers of microwave sensing and imaging It offers the advantages of high range resolution and good penetration for nonmetallic materials. When two or more targets are located in the field of view, it will be more challenging to isolate signals from individual targets It generally extracts the respiration frequency and range without the information of the angle-of-arrival (AOA). Another challenge is the interference caused by the random body movement, which results in low signal-to-noise ratio (SNR) in practical applications. A new method was proposed to determine AOA and separate useful scattered signals from multiple individuals with 1D linear antenna array.
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