• DocumentCode
    3462077
  • Title

    Spatial-Temporal Differential Analysis for GMTD with Airborne Radars, Part 2: First Experimental Results

  • Author

    Praskovskaya, Eleanor ; Praskovsky, Alexander ; Himed, Braham

  • Author_Institution
    EnerLab, Fort Lauderdale, FL
  • fYear
    2006
  • fDate
    24-26 May 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We consider an application of the spatial-temporal differential analysis (STDA) technique to the ground-moving target detection (GMTD) using airborne radars with multiple receive channels. STDA is a new approach, suitable to processing multiple radar signals which utilizes spatial and temporal scintillations in the instantaneous signal power. To test the practical potential of STDA, we used multi-channel airborne radar measurements (MCARM) database, which was developed to test and improve space-time adaptive processing (STAP). In particular, we processed the MCARM file rd050575, obtained from flight 5, cycle d, and acquisition 575. The goal was to detect the Sabreliner airplane flying towards the radar-carrying airplane BAC 1-11 in the presence of urban, land, and sea clutter. Second-order structure functions for multiple radar signals were used for the processing. This simplified STDA technique applied in the time domain only provides a good performance by detecting the Sabreliner with a false alarm rate below 10´ in the same range bin where it was previously detected using several STAP variants.
  • Keywords
    airborne radar; radar signal processing; space-time adaptive processing; GMTD; STAP; STDA; airborne radars; ground-moving target detection; multichannel airborne radar measurements; multiple receive channels; radar signal processing; space-time adaptive processing; spatial-temporal differential analysis; Airborne radar; Airplanes; Clutter; Object detection; Radar detection; Radar signal processing; Sea measurements; Signal processing; Spatial databases; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium, 2006. IRS 2006. International
  • Conference_Location
    Krakow
  • Print_ISBN
    978-83-7207-621-2
  • Type

    conf

  • DOI
    10.1109/IRS.2006.4338013
  • Filename
    4338013