• DocumentCode
    494574
  • Title

    Morphological operator and Empirical Mode Decomposition for clutter mitigation

  • Author

    Jangal, F. ; Mandereau, F.

  • Author_Institution
    French Aerosp. Lab., ONERA, Palaiseau
  • fYear
    2008
  • fDate
    15-18 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Maritime surveillance of the Exclusive Economic Zone (EEZ) is a present military and civilian challenge. The High Frequency Surface Wave Radar, as its coverage range is not limited by the radio horizon, is well-suited to fulfil this task. Effect of ionospheric clutter can, however, strongly limits target detection. Ionospheric clutter results from disturbance in ionization. In previous works we proposed using wavelets to remove the clutter. We are now considering another multi-scale analysis. Indeed, we wondered if an evolving basis could overcome the issue. Empirical Mode Decomposition (EMD) might offer such a possibility. The initial idea is still using multi-scale analysis to turn to good account the differences in variation scales of targets and ionospheric clutter. Apart from the fact that basis functions is self-determined by the EMD. We have also tried to associate morphological operators and EMD. We are presenting here the first results of our investigations.
  • Keywords
    interference suppression; ionospheric techniques; military radar; modal analysis; object detection; radar clutter; clutter mitigation; empirical mode decomposition; exclusive economic zone; high frequency surface wave radar; ionospheric clutter; morphological operator; radio horizon; target detection; Frequency; Hafnium; Object detection; Radar clutter; Radar detection; Radar measurements; Sea measurements; Sea surface; Surface morphology; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2008
  • Conference_Location
    Quebec City, QC
  • Print_ISBN
    978-1-4244-2619-5
  • Electronic_ISBN
    978-1-4244-2620-1
  • Type

    conf

  • DOI
    10.1109/OCEANS.2008.5151851
  • Filename
    5151851