• DocumentCode
    2474329
  • Title

    Elevation interferometric STAP using a thinned planar array

  • Author

    Hale, T.B. ; Temple, Michael A. ; Raquet, John F. ; Oxley, Mark E. ; Wicks, Michael C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    408
  • Lastpage
    414
  • Abstract
    The research applies space-time adaptive processing (STAP) techniques to a pseudo-circular array generated by selectively thinning a rectangular array. A hybrid approach incorporating elevation interferometry and STAP techniques is used. Results show the thinned 16-element pseudo-circular array offers significant detection performance improvement over the baseline factored time-space (FTS) technique operating on a linear array, e.g., an 8-element horizontal linear array. Results are demonstrated for cases with and without range ambiguous clutter. This performance level is achieved using a factor of M less sample support than required for full adaptivity where M represents the number of pulses within a coherent processing interval.
  • Keywords
    filtering theory; linear antenna arrays; planar antenna arrays; radar antennas; radar clutter; radar detection; radar signal processing; radiowave interferometry; space-time adaptive processing; Doppler filtering; baseline factored time-space technique; coherent processing interval; elevation interferometric STAP; horizontal linear array; hybrid approach; pseudo-circular array; radar clutter; radar detection performance; rectangular array; space-time adaptive processing; thinned planar array; Adaptive arrays; Clutter; Degradation; Filtering; Force sensors; Mathematics; Military computing; Planar arrays; Sensor arrays; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2002. Proceedings of the IEEE
  • Print_ISBN
    0-7803-7357-X
  • Type

    conf

  • DOI
    10.1109/NRC.2002.999753
  • Filename
    999753