Parametric Investigation on Simulated Staring FMCW Radar for Anti-Drone Swarms

Yun, J. , Anderson, D. and Fioranelli, F. (2020) Parametric Investigation on Simulated Staring FMCW Radar for Anti-Drone Swarms. In: 2020 IEEE Radar Conference (RadarConf20), Florence, Italy, 21-25 Sep 2020, ISBN 9781728189420 (doi: 10.1109/RadarConf2043947.2020.9266354)

Abstract

This paper presents parametric investigation results on a staring FMCW radar system which targets drone swarms. The parametric investigation has been carried out by using the RAPID-SIM which facilitates system-level analysis of drone swarms' radar signatures. This paper explains concepts of the simulator's each module and also covers two parametric investigation results which deal with quantitative performance criteria for the design of the anti-drone swarms radar system.

• Item Type: Conference Proceedings
• Keywords: FMCW radar, staring radar, UAV, drone, swarms, Monte-Carlo simulation, rigid body kinematics.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Fioranelli, Dr Francesco and Anderson, Dr David and Yun, Dr Joongsup
• Authors: Yun, J., Anderson, D., and Fioranelli, F.
• Subjects: T Technology > TA Engineering (General). Civil engineering (General)
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISSN: 2375-5318
• ISBN: 9781728189420
• Published Online: 04 December 2020
• Copyright Holders: Copyright © 2020 IEEE
• First Published: First published in 2020 IEEE Radar Conference (RadarConf20)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
305811		Radar Analysis and Prediction of Intentions/Behaviour of small drones' swarms	David Anderson	US Office of Naval Research (ONR) (USANAVRE)	N62909-19-1-2073	ENG - Systems Power & Energy