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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.
|Number of pages||8|
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|Early online date||21 Sep 2013|
|Publication status||Published - 31 Jul 2014|
- micro-Doppler classifications
- real-time implementation
- support vector machine classifier
FingerprintDive into the research topics of 'Robust PCA for micro-doppler classification using SVM on embedded systems'. Together they form a unique fingerprint.
- 1 Finished
Clemente, C. & Soraghan, J.
1/10/09 → 31/03/13