• DocumentCode
    2885540
  • Title

    Adaptive WEighting of Signals via One Matrix Entity (AWESOME)

  • Author

    Xie, Yao ; Li, Jian ; Ward, James

  • Author_Institution
    Florida Univ., Gainesville
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    699
  • Lastpage
    705
  • Abstract
    We present the Adaptive WEighting of Signals via One Matrix Entity (AWESOME) algorithm for adaptive array beampattern synthesis. The array geometry can be arbitrary. Compared to the conventional approaches of using data-adaptive weight vectors at the array output for beampattern synthesis, which we refer to as the Vector Weighting Approaches (VWA), weight matrices are used at the array output by AWESOME for much improved flexibility for adaptive array beampattern synthesis. Globally optimal solutions can be determined efficiently for AWESOME due to the convex optimization formulations. AWESOME can be considered as the Semidefinite Relaxation (SDR) of the VWA counterpart. Numerical examples are presented to show that AWESOME allows for strict controls of main-beam shape and peak sidelobe level while retaining the capability of adaptive nulling of strong interferences and jammers.
  • Keywords
    array signal processing; matrix algebra; adaptive array beampattern synthesis; convex optimization formulations; interferences; jammers; one matrix entity algorithm; semidefinite relaxation; signal adaptive weighting; vector weighting approaches; weight matrices; Adaptive arrays; Adaptive control; Design optimization; Geometry; Interference; Programmable control; Sensor arrays; Shape control; Signal design; Signal synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2007 IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1097-5659
  • Print_ISBN
    1-4244-0284-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2007.374304
  • Filename
    4250398