Complex-Valued Neural Networks for Millimeter Wave FMCW-Radar Angle Estimations
Kaiser K, Daugalas J, Lopez-Randulfe J, Knoll A, Weigel R, Lurz F (2022)
Publication Status: Accepted
Publication Type: Conference contribution
Future Publication Type: Conference contribution
Publication year: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 145-148
Conference Proceedings Title: 2022 19th European Radar Conference, EuRAD 2022
Event location: Milan
ISBN: 9782874870712
DOI: 10.23919/EuRAD54643.2022.9924767
Abstract
Processing radar signals with neural networks has shown promising results in classification and regression tasks. While processed radar data is intrinsically complex-valued, most architectures using neural networks are comprised of real-values and their arithmetic. Previous work has found that keeping the complex-valued number system and extending it into the domain of neural networks can be beneficial. In this paper, we demonstrate that in two-dimensional direction-of-arrival (DoA) estimation, complex-valued neural networks (CVNNs) show better results than real-valued neural networks (RVNNs). Real-world recordings of ten different FMCW radar devices were used to train numerous models, varying in the computational complexity and varying in data properties. Over all models trained, the best CVNN surpassed the best RVNN by 14%. In terms of model complexity, CVNNs also showed better results, both per trainable parameter and per floating point operation (FLOP). Similarly, CVNNs surpass RVNNs, both when trained with decreased data quantity and decreased data quality.
Authors with CRIS profile
Kevin Kaiser
Lehrstuhl für Technische Elektronik
Robert Weigel
Lehrstuhl für Technische Elektronik
Fabian Lurz
Lehrstuhl für Technische Elektronik
Involved external institutions
Germany (DE)How to cite
APA:
Kaiser, K., Daugalas, J., Lopez-Randulfe, J., Knoll, A., Weigel, R., & Lurz, F. (2022). Complex-Valued Neural Networks for Millimeter Wave FMCW-Radar Angle Estimations. In 2022 19th European Radar Conference, EuRAD 2022 (pp. 145-148). Milan, IT: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kaiser, Kevin, et al. "Complex-Valued Neural Networks for Millimeter Wave FMCW-Radar Angle Estimations." Proceedings of the 19th European Radar Conference, EuRAD 2022, Milan Institute of Electrical and Electronics Engineers Inc., 2022. 145-148.
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