Robust PCA for micro-doppler classification using SVM on embedded systems

Tools

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)

[thumbnail of Clemente-etal-IEEE-TAES-2014-Robust-micro-Doppler-classification-using-SVM-on-embedded-systems]
Preview
 Text. Filename: Clemente_etal_IEEE_TAES_2014_Robust_micro_Doppler_classification_using_SVM_on_embedded_systems.pdf
Accepted Author Manuscript
Download (414kB)| Preview

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 logoORCID: https://orcid.org/0000-0002-0634-1725, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Di Caterina, Gaetano ORCID logoORCID: https://orcid.org/0000-0002-7256-0897, Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Soraghan, John J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628;
CORE (COnnecting REpositories)