• DocumentCode
    2309556
  • Title

    Modified neural multiple source tracking algorithm in the presence of mutual coupling

  • Author

    Caylar, Selcuk ; Leblebicioglu, Kemal ; Dural, Gülbin

  • Author_Institution
    METU, Ankara
  • fYear
    2007
  • fDate
    9-15 June 2007
  • Firstpage
    1124
  • Lastpage
    1127
  • Abstract
    In smart antenna systems, mutual coupling between elements can significantly degrade the processing algorithms (H. Zhiyong et al., 2006). In this paper mutual coupling effects on modified neural multiple source tracking algorithm (MN-MUST) has been studied. MN- MUST algorithm applied to the uniform circular array (UCA) geometry for the first time. The validity of MN-MUST algorithm in the presence of mutual coupling has been proved for both uniform linear array (ULA) and UCA. Simulation results of MN-MUST algorithm are provided for UCA for the first time. The presence of mutual coupling degraded the MN-MUST algorithm performed in the absence of mutual coupling, as expected.
  • Keywords
    adaptive antenna arrays; electrical engineering computing; neural nets; modified neural multiple source tracking algorithm; mutual coupling; smart antenna systems; uniform circular array geometry; uniform linear array; Antenna arrays; Antenna measurements; Azimuth; Degradation; Frequency; Geometry; Mutual coupling; Neural networks; Receiving antennas; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2007 IEEE
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4244-0877-1
  • Electronic_ISBN
    978-1-4244-0878-8
  • Type

    conf

  • DOI
    10.1109/APS.2007.4395696
  • Filename
    4395696