Noncontact Respiration Detection of Multiple Closely Positioned Subjects with Difference Beamforming

Abstract

Digital beamforming (DBF) can be described as the weighted summation of the data received by each antenna unit. It is essentially a spatial filter that has been widely used in multi-target respiration detection. However, this solution is limited to angular resolution. In this paper, a difference beamforming has been proposed to separate the respiration of multiple closely positioned subjects without being constrained by angular resolution. The experimental result shows the superior performance of the proposed algorithm.