2025/10/12 by Kimitaka Sumi, Sumi, Kimitaka, Takuya Sakamoto +1
Engineering · #Advanced SAR Imaging Techniques #FOS: Electrical engineering #Non-Invasive Vital Sign Monitoring #Signal Processing (eess.SP) #Wireless Body Area Networks #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2510.10542
14 pages, 9 figures, 4 tables. This work is going to be submitted to the IEEE for possible publication
openalex publication_date 2025/10/12 · openalex created_date 2025/10/15 · openalex updated_date 2026/07/28 · arxiv created 2026/08/03 · arxiv updated 2026/08/04
This study proposes a multi-radar system for non-contact physiological sensing across arbitrary body orientations. In integrating signals obtained from different radar viewpoints, we adopt a multivariate variational mode decomposition method to extract the common respiratory component. Experiments conducted with six subjects under varying distances and orientations demonstrate that, compared with a single-radar setup, the proposed system reduced the root mean square error of the respiratory interval by 35.5%, decreased the mean absolute error of the respiratory rate by 30.8%, and improved accuracy by 9.4 percentage points. These results highlight that combining multiple radar viewpoints with signal integration enables stable respiratory measurement regardless of body orientation.