The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Survey on Anti-Drone Systems: Components, Designs, and Challenges
Open accessAbstract
This paper presents a comprehensive survey on anti-drone systems. After drones were released for non-military usages, drone incidents in the unarmed population are gradually increasing. However, it is unaffordable to construct a military grade anti-drone system for every private or public facility due to installation and operation costs, and regulatory restrictions. We focus on analyzing anti-drone system that does not use military weapons, investigating a wide range of anti-drone technologies, and deriving proper system models for reliable drone defense. We categorized anti-drone technologies into detection, identification, and neutralization, and reviewed numerous studies on each. Then, we propose a hypothetical anti-drone system that presents the guidelines for adaptable and effective drone defense operations. Further, we discuss drone-side safety and security schemes that could nullify current anti-drone methods, and propose future solutions to resolve these challenges.
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Cites
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Science, technology and the future of small autonomous drones
Floreano, D., & Wood, R. J. (2015) · Nature · doi:10.1038/nature14542 · Cited by 1,476
Acoustic Communication in Noise
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PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms
Meier, L., Honegger, D., & Pollefeys, M. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2015.7140074 · Cited by 753
The Micro-Doppler Effect in Radar
Chen, V. C. (2010) · Cited by 717
Radar and Communication Coexistence: An Overview: A Review of Recent Methods
Zheng, L., Lops, M., Eldar, Y. C., & Wang, X. (2019) · IEEE Signal Processing Magazine · doi:10.1109/msp.2019.2907329 · Cited by 659
RFID-enabled real-time manufacturing execution system for mass-customization production
Zhong, R. Y., Dai, Q. Y., Qu, T., Hu, G. J., & Huang, G. Q. (2013) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2012.08.001 · Cited by 462
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Radar system analysis and modeling
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An Amateur Drone Surveillance System Based on the Cognitive Internet of Things
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Cited by
A Review of Counter-UAS Technologies for Cooperative Defensive Teams of Drones
Castrillo, V. U., Manco, A., Pascarella, D., & Gigante, G. (2022) · Drones · doi:10.3390/drones6030065 · Cited by 131
An Autonomous Counter-Drone System with Jamming and Relative Positioning Capabilities
Souli, N., Kolios, P., & Ellinas, G. (2022) · ICC 2022 - IEEE International Conference on Communications · doi:10.1109/icc45855.2022.9838783 · Cited by 19
Metadata
- Authors
- Park, S., Kim, H. T., Lee, S., Joo, H., & Kim, H.
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 42635-42659
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3136561353
- Cited by
- 325
- References
- 57
- FWCI
- 24.18
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
