GNSS based passive radar for UAV monitoring

Ilioudis, Christos V. and Cao, Jianlin and Theodorou, Ilias and Striano, Pasquale and Coventry, William and Clemente, Carmine and Soraghan, John (2019) GNSS based passive radar for UAV monitoring. In: IEEE Radar Conference 2019, 2019-04-22 - 2019-04-26, Westin Waterfront Hotel. (https://doi.org/10.1109/RADAR.2019.8835606)

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Abstract

Monitoring of unmanned aerial vehicle (UAV) targets has been a subject of great importance in both defence and security sectors. In this paper a novel system is introduced based on a passive bistatic radar using Global Navigation Satellite Systems (GNSS) as illuminators of opportunity. Particularly, a link budget analysis is held to determine the capabilities and limitations of such a system. Additionally, a signal reconstruction algorithm is provided allowing estimation of the transmitted signal from each satellite. Finally, the proposed system is tested in outdoor acquisitions of small UAV targets where the Fractional Fourier Transform (FrFT) is used as tool to enhance target detectability.

ORCID iDs

Ilioudis, Christos V. ORCID: https://orcid.org/0000-0002-7164-6461

Cao, Jianlin ORCID: https://orcid.org/0000-0003-1132-8784

Theodorou, Ilias ORCID: https://orcid.org/0000-0002-0261-9566

Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X

Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	67270
  Dates:	Date Event 16 September 2019 Published 6 April 2019 Published Online 14 January 2019 Accepted
  Notes:	© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Faculty of Engineering > Mechanical and Aerospace Engineering Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	12 Mar 2019 11:55
  Last modified:	11 Nov 2024 16:56
  URI:	https://strathprints.strath.ac.uk/id/eprint/67270