Fioranelli, F. , Krasnov, O., Cai, Y., Yarovoy, A., Yun, J. and Anderson, D. (2021) Improving the Simulations of Radar Signatures of Small Drone. In: MSG-SET-183 Specialists' Meeting on Drone Detectability: Modelling the Relevant Signature, 27-29 Apr 2021, ISBN 9789283723578
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Publisher's URL: https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-MSG-SET-183/MP-MSG-SET-183-01.pdf
Abstract
Small drones have attracted significant research interest from law enforcement and defence agencies due to the challenge in detecting, tracking, and classifying them with radar, because of their small size and high manoeuvrability. As collecting experimental data for all possible drone models and scenarios is unfeasible, modelling work to simulate accurately the signatures of these platforms is an important task. This paper presents some preliminary results of research effort to enhance modelling capabilities of the radar signatures of individual small drones, and multiple drones flying together in the scene of interest.
Item Type: | Conference Proceedings |
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Keywords: | Radar, drone. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Yun, Dr Joongsup and Anderson, Dr David and Fioranelli, Dr Francesco |
Authors: | Fioranelli, F., Krasnov, O., Cai, Y., Yarovoy, A., Yun, J., and Anderson, D. |
Subjects: | Q Science > Q Science (General) |
College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering |
ISBN: | 9789283723578 |
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