A Direction-of-Arrival Estimation System for UAV-Assisted Search and Rescue: Locating Mobile Phones to Improve the Survival Chance of Disaster Victims

Depold A, Dorn C, Erhardt S, Weigel R, Lurz F (2023)

Publication Type: Journal article

Publication year: 2023

Journal

IEEE Microwave Magazine Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 24

Pages Range: 59-64

Journal Issue: 3

DOI: 10.1109/MMM.2022.3226548

Abstract

Collapsing buildings are, while not exactly common, still an issue. The causes are diverse and often region dependent. The most common cause of the large-scale structural failure of buildings is earthquakes. In countries less affected by earthquakes, explosions caused by gas leaks are the leading cause.

Authors with CRIS profile

Andreas Depold Lehrstuhl für Technische Elektronik Stefan Erhardt Lehrstuhl für Technische Elektronik Robert Weigel Lehrstuhl für Technische Elektronik

Additional Organisation(s)

FAU Profilzentrum Licht.Materie.Quantentechnologien (FAU LMQ)

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Technische Universität Hamburg-Harburg (TUHH) DE Germany (DE)

How to cite

APA:

Depold, A., Dorn, C., Erhardt, S., Weigel, R., & Lurz, F. (2023). A Direction-of-Arrival Estimation System for UAV-Assisted Search and Rescue: Locating Mobile Phones to Improve the Survival Chance of Disaster Victims. IEEE Microwave Magazine, 24(3), 59-64. https://dx.doi.org/10.1109/MMM.2022.3226548

MLA:

Depold, Andreas, et al. "A Direction-of-Arrival Estimation System for UAV-Assisted Search and Rescue: Locating Mobile Phones to Improve the Survival Chance of Disaster Victims." IEEE Microwave Magazine 24.3 (2023): 59-64.

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