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, Parry, T., Galston, G., Hammond, P., Berry, C., Ilioudis, C. ORCID: https://orcid.org/0000-0002-7164-6461, Gaglione, D. ORCID: https://orcid.org/0000-0001-7401-1659 and 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: DateEventMay 2015PublishedNotes: © 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 ManagementDepositing user: Pure Administrator Date deposited: 23 Feb 2015 15:10 Last modified: 15 Sep 2024 00:30 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/51869