Micro-Doppler based recognition of ballistic targets using 2D gabor filters
Persico, Adriano Rosario and Clemente, Carmine and Ilioudis, Christos V. and Gaglione, Domenico and Cao, Jianlin and Soraghan, John; (2015) Micro-Doppler based recognition of ballistic targets using 2D gabor filters. In: 2015 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 1-5. ISBN 9781479974436 (https://doi.org/10.1109/SSPD.2015.7288512)
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Abstract
The capability to recognize ballistic threats, is a critical topic due to the increasing effectiveness of resultant objects and to economical constraints. In particular the ability to distinguish between warheads and decoys is crucial in order to mitigate the number of shots per hit and to maximize the ammunition capabilities. For this reason a reliable technique to classify warheads and decoys is required. In this paper the use of the micro-Doppler signatures in conjunction with the 2-Dimensional Gabor filter is presented for this problem. The effectiveness of the proposed approach is demonstrated through the use of real data.
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Item type: Book Section ID code: 57058 Dates: DateEvent9 September 2015Published1 July 2015AcceptedNotes: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components 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 ManagementDepositing user: Pure Administrator Date deposited: 22 Jul 2016 14:39 Last modified: 12 Aug 2024 00:33 URI: https://strathprints.strath.ac.uk/id/eprint/57058