• DocumentCode
    3749819
  • Title

    Analysis of the signature of rotating blades with the Empirical Mode Decomposition

  • Author

    Mickael Bruno;Alessio Balleri

  • Author_Institution
    Centre for Electronic Warfare, Cranfield University, Defence Academy of the UK, Shrivenham, UK
  • fYear
    2015
  • Firstpage
    272
  • Lastpage
    276
  • Abstract
    In this paper, we present the results of an experimental trial carried out to collect data from a target with a rotating blade at X-band. We apply the Empirical Mode Decomposition (EMD) to the experimental data and we investigate the information contained in the target Intrinsic Mode Functions (IMF) as a function of the blade speed of rotation, by studying their auto-correlation properties with respect to the experimental ground truth. Experimental results are complimented by a set of simulations in order to understand how the IMFs change as a function of Signal to Noise Ratio (SNR). Results show that the EMD can provide information on the angular speed of the blade.
  • Keywords
    "Blades","Signal to noise ratio","Radar","Correlation","Time-frequency analysis","Feature extraction","Helicopters"
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2015 IEEE
  • Type

    conf

  • DOI
    10.1109/RadarConf.2015.7411893
  • Filename
    7411893