Improved Indoor Semi-Static Human Target Detection and Localization using FMCW Radar
Kaiser K, Stadelmayer T, Felgentreff J, Weigel R, Lurz F, Santra A (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 298-301
Conference Proceedings Title: 20th European Radar Conference, EuRAD 2023
Event location: Berlin, DEU
ISBN: 9782874870743
DOI: 10.23919/EuRAD58043.2023.10289261
Abstract
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.
Authors with CRIS profile
Kevin Kaiser
Lehrstuhl für Technische Elektronik
Thomas Stadelmayer
Lehrstuhl für Technische Elektronik
Robert Weigel
Lehrstuhl für Technische Elektronik
Additional Organisation(s)
Involved external institutions
Germany (DE)How to cite
APA:
Kaiser, K., Stadelmayer, T., Felgentreff, J., Weigel, R., Lurz, F., & Santra, A. (2023). Improved Indoor Semi-Static Human Target Detection and Localization using FMCW Radar. In 20th European Radar Conference, EuRAD 2023 (pp. 298-301). Berlin, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kaiser, Kevin, et al. "Improved Indoor Semi-Static Human Target Detection and Localization using FMCW Radar." Proceedings of the 20th European Radar Conference, EuRAD 2023, Berlin, DEU Institute of Electrical and Electronics Engineers Inc., 2023. 298-301.
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