Robust PCA for micro-doppler classification using SVM on embedded systems
Zabalza, Jaime and Clemente, Carmine and Di Caterina, Gaetano and Ren, Jinchang and Soraghan, John J. and Marshall, Stephen (2014) Robust PCA for micro-doppler classification using SVM on embedded systems. IEEE Transactions on Aerospace and Electronic Systems, 50 (3). pp. 2304-2310. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2014.130082)
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Abstract
In this paper a novel feature extraction technique for micro-Doppler classification and its real time implementation using SVM on an embedded low-cost DSP are presented. The effectiveness of the proposed technique is improved through the exploitation of the outlier rejection capabilities of the Robust PCA in place of the classic PCA.
ORCID iDs
Zabalza, Jaime ORCID: https://orcid.org/0000-0002-0634-1725, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X, Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897, Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194, Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391 and Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628;-
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Item type: Article ID code: 50425 Dates: DateEvent31 July 2014Published21 September 2013Published Online16 September 2013AcceptedNotes: (c) 2014 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
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 18 Nov 2014 14:58 Last modified: 11 Nov 2024 10:52 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/50425
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