High-Resolution Direction-of-Arrival Estimation using Distributed Radar Sensors
Fuchs J, Kasper A, Lübke M, Dubey A, Lurz F (2022)
Publication Language: English
Publication Status: Accepted
Publication Type: Conference contribution, Conference Contribution
Future Publication Type: Conference contribution
Publication year: 2022
Conference Proceedings Title: 2022 IEEE Radio and Wireless Symposium (RWS)
Event location: Las Vegas, NV
DOI: 10.1109/RWS53089.2022.9719971
Abstract
We present an approach to high-resolution direction-of-arrival estimation for distributed radar sensors without the need for synchronization or wired connections. The sensor signals are post-processed and combined after range-Doppler processing achieving a larger virtual aperture and multiple snapshots. The proposed approach is validated via simulations and the effectiveness is compared to other baseline estimators. Finally, the applicability on real data is demonstrated using measurements.
Authors with CRIS profile
Jonas Fuchs
Lehrstuhl für Technische Elektronik (LTE)
Maximilian Lübke
Lehrstuhl für Technische Elektronik (LTE)
Anand Dubey
Lehrstuhl für Technische Elektronik (LTE)
Related research project(s)
Echtzeitsignalverarbeitung verteilter Radarsysteme im Bereich des autonomen Fahrens (PRYSTINE)
Programmable Systems for Intelligence in Automobiles
June 16, 2018 - April 30, 2021
Programmable Systems for Intelligence in Automobiles (PRYSTINE)
Programmable Systems for Intelligence in Automobiles
May 1, 2018 - April 30, 2021
Involved external institutions
Germany (DE)How to cite
APA:
Fuchs, J., Kasper, A., Lübke, M., Dubey, A., & Lurz, F. (2022). High-Resolution Direction-of-Arrival Estimation using Distributed Radar Sensors. In IEEE (Eds.), 2022 IEEE Radio and Wireless Symposium (RWS). Las Vegas, NV, US.
MLA:
Fuchs, Jonas, et al. "High-Resolution Direction-of-Arrival Estimation using Distributed Radar Sensors." Proceedings of the 2022 IEEE Radio & Wireless Week, Las Vegas, NV Ed. IEEE, 2022.
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