• DocumentCode
    748403
  • Title

    Dynamic signal enumeration algorithm for smart antennas

  • Author

    Green, Peter J. ; Taylor, Desmond P.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
  • Volume
    50
  • Issue
    6
  • fYear
    2002
  • fDate
    6/1/2002 12:00:00 AM
  • Firstpage
    1307
  • Lastpage
    1314
  • Abstract
    This paper develops a method to enumerate the incident signals impinging on a uniform linear array (ULA) independent of the extent of their correlation in a Rayleigh flat fading channel environment. The method also minimizes the number of antennas to the number of signals and adapts continuously to maintain performance in a mobile environment where users (signals) come and go. It ensures that the amount of computation is kept to a minimum and, in a practical system, can reallocate computational resources to other applications. The technique is a modification of the matrix decomposition method of Cozzens and Sousa (1994). A new set of stability, stopping, and adaptive control criteria is presented. An algorithm is formulated, and simulation results are presented, showing performance and behavior at various signal-to-noise ratios (SNRs). Limitations of the algorithm in enumerating closely spaced signals are also presented
  • Keywords
    Rayleigh channels; adaptive antenna arrays; adaptive control; array signal processing; land mobile radio; linear antenna arrays; matrix decomposition; noise; telecommunication control; Rayleigh flat fading channel; SNR; adaptive control; antenna array processing; closely spaced signals; dynamic signal enumeration algorithm; high-resolution parameter estimation algorithms; matrix decomposition method; mobile environment; signal-to-noise ratios; simulation results; smart antennas; stability criteria; stopping criteria; uniform linear array; Adaptive arrays; Adaptive control; Computational modeling; Fading; Heuristic algorithms; Linear antenna arrays; Matrix decomposition; Mobile antennas; Signal to noise ratio; Stability criteria;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2002.1003056
  • Filename
    1003056