• DocumentCode
    1099655
  • Title

    Robust Wideband Beamforming by the Hybrid Steepest Descent Method

  • Author

    Slavakis, Konstantinos ; Yamada, Isao

  • Author_Institution
    Univ. of Athens, Athens
  • Volume
    55
  • Issue
    9
  • fYear
    2007
  • Firstpage
    4511
  • Lastpage
    4522
  • Abstract
    This paper uses the hybrid steepest descent method (HSDM) to design robust smart antennas. Several design criteria as well as robustness are mathematically described by a finite collection of closed convex sets in a real Euclidean space. Desirable beamformers are defined as points of the generalized convex feasible set which is well defined even in the case of inconsistent design criteria. A quadratic cost function is formed by the correlations of the incoming data, and the HSDM constructs a point sequence that (strongly) converges to the (unique) minimizer of the cost function over the generalized convex feasible set. Numerical examples validate the proposed design.
  • Keywords
    adaptive antenna arrays; array signal processing; broadband antennas; correlation methods; Euclidean space; HSDM; closed convex sets; generalized convex feasible set; hybrid steepest descent method; quadratic cost function; smart antennas; wideband beamforming; Antenna arrays; Array signal processing; Broadband antennas; Cost function; Microphone arrays; Microstrip antenna arrays; Radar antennas; Robustness; Sensor arrays; Wideband; Convex feasibility problems; fixed point theory; hybrid steepest descent method; wideband beamforming;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.896252
  • Filename
    4291862