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Micro-Doppler based detection and tracking of UAVs with multistatic radar
Abstract
This paper presents an approach for detection and tracking a micro-UAV using the multistatic radar NetRAD. Experimental trials were performed using NetRAD allowing for analysis of real data to assess the difficulty of detection and tracking of a micro-UAV target. The UAV detection is based on both time domain and micro-Doppler signatures, in order to enhance the discrimination between ground clutter and UAV returns. This micro-Doppler based procedure is shown to improve the clutter/target discrimination, in comparison to a Doppler-shift based procedure. The tracking approach is able to compensate for the limited quality measurement generated by each bistatic pair by fusing the measurements available from multiple bistatic pairs.
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Citations
Cites
Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software
Bar‐Shalom, Y., Li, X. ‐., & Kirubarajan, T. (2002) · doi:10.1002/0471221279 · Cited by 6,782
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Taha, B., & Shoufan, A. (2019) · IEEE Access · doi:10.1109/access.2019.2942944 · Cited by 375
Vision-Based Anti-UAV Detection and Tracking
Zhao, J., Zhang, J., Li, D., & Wang, D. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3177627 · Cited by 304
Defending Airports from UAS: A Survey on Cyber-Attacks and Counter-Drone Sensing Technologies
Lykou, G., Moustakas, D., & Gritzalis, D. (2020) · Sensors · doi:10.3390/s20123537 · Cited by 268
Metadata
- Authors
- Hoffmann, F., Ritchie, M., Fioranelli, F., Charlish, A., & Griffiths, H.
- Venue
- 2016 IEEE Radar Conference (RadarConf)
- Publisher
- IEEE
- Published
- 2016-05
- Pages
- 1-6
- ISSN
- 1097-5659 (ISSN-L)
- OpenAlex
- W2420956047
- Cited by
- 189
- References
- 1
- FWCI
- 26.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Hoffmann, F., Ritchie, M., Fioranelli, F., Charlish, A., & Griffiths, H. (2016). Micro-Doppler based detection and tracking of UAVs with multistatic radar. 2016 IEEE Radar Conference (RadarConf). https://doi.org/10.1109/radar.2016.7485236
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