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

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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.
Original languageEnglish
Pages (from-to)2304-2310
Number of pages8
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number3
Early online date21 Sep 2013
Publication statusPublished - 31 Jul 2014



  • micro-Doppler classifications
  • real-time implementation
  • support vector machine classifier

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