GNSS based passive bistatic radar for micro-doppler based classification of helicopters : experimental validation

Clemente, C. and Parry, T. and Galston, G. and Hammond, P. and Berry, C. and Ilioudis, C. and Gaglione, D. and Soraghan, J. J. (2015) GNSS based passive bistatic radar for micro-doppler based classification of helicopters : experimental validation. In: IEEE International Radar Conference 2015, 2015-05-11 - 2015-05-15. (https://doi.org/10.1109/RADAR.2015.7131159)

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Abstract

The capability of using illuminators of opportunity for target classification is of great interest to the radar community. In particular the alternative use of Global Navigation Satellite System (GNSS) has recently initiated a number of studies that aim to exploit this source of illumination for passive radar. We recently introduced the concept of a GNSS based passive radar for extraction of micro-Doppler signatures from helicopter rotor blades with the aim of identify this kind of targets. In this paper we present the experimental validation of our concept with real data from two different models of helicopter

ORCID iDs

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

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

Gaglione, D. ORCID: https://orcid.org/0000-0001-7401-1659

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

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  Item type:	Conference or Workshop Item(Paper)
  ID code:	51869
  Dates:	Date Event May 2015 Published
  Notes:	© 2015 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 Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	23 Feb 2015 15:10
  Last modified:	11 Nov 2024 16:43
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/51869