Title :
Robust PCA micro-doppler classification using SVM on embedded systems
Author :
Zabalza, Jaime ; Clemente, Carmine ; Di Caterina, Gaetano ; Jinchang Ren ; Soraghan, John J. ; Marshall, Stephen
Author_Institution :
Centre for Excellence in Signal & Image Process., Univ. of Strathclyde, Glasgow, UK
Abstract :
In this paper, a novel feature extraction technique for micro-Doppler classification and its real-time implementation using a support vector machine classifier on a low-cost, embedded digital signal processor are presented. The effectiveness of the proposed technique is improved through exploitation of the outlier rejection capabilities of robust principal component analysis (PCA) in place of classic PCA.
Keywords :
Doppler radar; digital signal processing chips; embedded systems; feature extraction; image classification; image motion analysis; principal component analysis; radar imaging; support vector machines; PCA; SVM; embedded digital signal processor; embedded systems; feature extraction technique; microDoppler classification; outlier rejection capabilities; principal component analysis; support vector machine classifier; Digital signal processing; Doppler radar; Feature extraction; Principal component analysis; Support vector machines;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2014.130082
