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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.
Original language | English |
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Pages (from-to) | 2304-2310 |
Number of pages | 8 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 50 |
Issue number | 3 |
Early online date | 21 Sept 2013 |
DOIs | |
Publication status | Published - 31 Jul 2014 |
Keywords
- micro-Doppler classifications
- real-time implementation
- support vector machine classifier
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Projects
- 1 Finished
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Advanced High Resolution Methods for Radar Imaging and Micro-Doppler Signature Extraction
Clemente, C. (Academic) & Soraghan, J. (Academic)
1/10/09 → 31/03/13
Project: Research