• DocumentCode
    2655025
  • Title

    Two-parameter power-variable-training STAP

  • Author

    Benitz, Gerald ; Griesbach, Jacob D. ; Rader, Charles

  • Author_Institution
    Lincoln Lab., MIT, Lexington, MA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    7-10 Nov. 2004
  • Firstpage
    2359
  • Abstract
    Airborne ground moving target indicator (GMTI) radars must employ a method of radar clutter mitigation to separate moving objects from stationary ground clutter. Two-parameter, power variable training STAP effectively combines two distinct STAP methods to improve clutter suppression, target detection, and angle estimation. Power variable training STAP utilizes a clutter covariance scaling factor to prevent clutter overing and undering that can degrade radar performance. Two-parameter STAP augments power variable training STAP by implementing an adaptive clutter projection for the highest power clutter, thus limiting breakthrough clutter discretes while preserving MDV. Results are illustrated with radar data collected from the Tuxedo airborne radar.
  • Keywords
    airborne radar; direction-of-arrival estimation; radar clutter; radar signal processing; space-time adaptive processing; target tracking; Tuxedo airborne radar; adaptive clutter projection; airborne ground moving target indicator radars; angle estimation; clutter covariance scaling factor; clutter overing; clutter suppression; clutter undering; ground clutter; radar clutter; target detection; two-parameter power-variable-training STAP; Airborne radar; Covariance matrix; Degradation; Doppler radar; Jacobian matrices; Laboratories; Object detection; Radar clutter; Radar detection; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
  • Print_ISBN
    0-7803-8622-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2004.1399591
  • Filename
    1399591