Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

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

Zabalza, J. and Clemente, C. and Di Caterina, G. and Ren, Jinchang and Soraghan, J. J. and Marshall, S. (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

[img]
Preview
Text (Clemente-etal-IEEE-TAES-2014-Robust-micro-Doppler-classification-using-SVM-on-embedded-systems)
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.