Improved indoor semi-static human target detection and localization using FMCW radar

Start Page
298
End Page
301
Citation
20th European Radar Conference (EuRAD 2023)
Contribution to Conference
20th European Radar Conference, EuRAD 2023  
Publisher DOI
10.23919/EuRAD58043.2023.10289261
Scopus ID
2-s2.0-85177576517
Publisher
Institute of Electrical and Electronics Engineers Inc.
This paper presents a novel processing approach for semi-static human indoor perception and localization with Frequency modulated continuous wave (FMCW) radar. When analyzing semi-static targets with FMCW radar, minimal phase variations of standing or sitting human targets in slow-time can result in missed detections under traditional processing schemes. The common approach of studying micro-Doppler signatures over an extended period of time can, however, be costly in terms of both memory and compute resources. In this work, we introduce an approach with low memory and computational footprint, which relies on signatures beyond micro-Doppler for a novel presence score. We show on real-world recordings how this maximal variance based presence score can bring improvement in detection of static humans. To further increase detections in the range angle space, we introduce a novel angle of arrival estimation by creating a synthetic spatial signal from all phase differences between antennas over time. We show a 22.9% gain in human detection performance on a large dataset of humans in semi-static applications and highlight the reduction in computational complexity of both of these concepts.
Subjects
ceramics
coaxial resonators
delay filters
power amplifiers
DDC Class
530: Physics