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Robust airborne target recognition based on recurrence plot quantification of micro-Doppler radar signatures

Johari, M. M ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1109/IRS.2016.7497362
  3. Publisher: IEEE Computer Society , 2016
  4. Abstract:
  5. A robust target recognition method proposed based on recurrence plot and recurrence quantification analysis (RQA) to generate robust features against noise, target velocity and aspect angle from micro-Doppler (m-D) signatures. The proposed method is tested on simulated data of three different targets using multiclass support vector machine (MSVM) and classification rate of about 95 % is achieved. Also, effect of noise and coherent processing time (CPT) on classification rate is investigated
  6. Keywords:
  7. Multiclass support vector machine ; Doppler radar ; Multivariable control systems ; Radar ; Speech processing ; Support vector machines ; Low resolution ; Multi-class support vector machines ; Recurrence plot ; Recurrence quantification analysis ; Target recognition ; Radar target recognition
  8. Source: Proceedings International Radar Symposium, 10 May 2016 through 12 May 2016 ; Volume 2016-June , 2016 ; 21555753 (ISSN) ; 9781509025183 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7497362