Projects per year
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 |
|---|---|
| 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
Fingerprint
Dive into the research topics of 'Robust PCA for micro-doppler classification using SVM on embedded systems'. Together they form a unique fingerprint.Profiles
Projects
- 1 Finished
-
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