• DocumentCode
    444721
  • Title

    Frontiers in multiple-agents evolutionary techniques applied to adaptive arrays design

  • Author

    Azaro, R. ; Donelli, M. ; De Natale, F. ; Franceschini, G. ; Franceschini, D. ; Massa, A. ; Piffer, S.

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Trento Univ.
  • Volume
    1B
  • fYear
    2005
  • fDate
    2005
  • Firstpage
    319
  • Abstract
    This paper proposes an innovative approach to control phased arrays. Starting from the adaptive array theory, a particle swarm strategy is used to tune the phase coefficients of the array in order to adaptively minimize/avoid the effects of interfering signals at the receiver. The effectiveness of the proposed approach is assessed through a comparison with state-of-the-art methods
  • Keywords
    adaptive antenna arrays; antenna theory; evolutionary computation; interference (signal); particle swarm optimisation; adaptive array theory; adaptive arrays design; control phased arrays; interfering signals; multiple-agents evolutionary techniques; particle swarm strategy; receiver; Adaptive arrays; Adaptive control; Communications technology; Convergence; Covariance matrix; Electronic mail; Particle swarm optimization; Phased arrays; Programmable control; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2005 IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-8883-6
  • Type

    conf

  • DOI
    10.1109/APS.2005.1551554
  • Filename
    1551554