• DocumentCode
    3286208
  • Title

    The Filtering Performance of a Kind Antenna Model

  • Author

    Xiaoyan, Pang ; Jun, Ding ; Chenjiang, Guo

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Northwest Polytech. Univ. (NWPU), Xi´´an, China
  • Volume
    3
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    This paper investigates the filtering performance of a new kind of compact antenna model, the cube antenna model. At first, the explicit expression for the signal to interference-plus-noise ratio (SINR) is obtained in terms of the parameters of the signal, interference, and noise. Then the filtering performance is simulated with Matlab simulation software. The results show that this antenna model has an excellent filtering performance in Polarization Domain, which makes up the limitation of the traditional Adaptive Array Antenna (AAA). Comparison with the polarization-sensitive-array (PSA) presents that the cube antenna model does not only performs well in Space Domain but also more even in different directions. Moreover, this compact structure can be used in a much smaller volume. All these results demonstrate that the cube antenna model has an outstanding performance both in Space and Polarization Domains. as illustrated by the portions given in this document.
  • Keywords
    adaptive antenna arrays; filtering theory; Matlab simulation; adaptive array antenna; compact antenna model; cube antenna model; filtering performance; polarization-sensitive-array; signal to interference-plus-noise ratio; space domain; Adaptive arrays; Adaptive filters; Antenna arrays; Directive antennas; Filtering; Interference; Mathematical model; Polarization; Signal to noise ratio; Software performance; cube antenna; filtering; polarization; signal to interference-plus-noise ratio; space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.122
  • Filename
    5232150