• DocumentCode
    2509108
  • Title

    Smart Antennas for MIMO-SDMA- An Overview and Modeling

  • Author

    Kumar, D. Sriram ; Varma, G. Gopi Krishna

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Trichy
  • fYear
    2008
  • fDate
    21-24 Nov. 2008
  • Firstpage
    485
  • Lastpage
    488
  • Abstract
    Smart/adaptive array antenna can track the unknown interference signal in real time automatically, that is, it can direct antenna pattern with nulls towards the interference and offer gain to the required signal to ensure the required signal reception, so output SINR (signal to Interference and Noise Ratio) is improved. Direction-of-arrival (DOA) estimation is based on the MUSIC algorithm for identifying the directions of the source signals incident on the sensor array comprising the smart antenna system. Adaptive beamforming is achieved using the LMS algorithm for directing the main beam towards the desired source signals and generating deep nulls in the directions of interfering signals.
  • Keywords
    MIMO communication; adaptive antenna arrays; antenna radiation patterns; direction-of-arrival estimation; least mean squares methods; radiofrequency interference; space division multiple access; LMS algorithm; MIMO; MUSIC algorithm; SDMA; SINR; adaptive array antenna; adaptive beamforming; antenna pattern; direction-of-arrival estimation; interference signal; signal to interference and noise ratio; smart antennas; space division multiple access; Adaptive arrays; Antenna arrays; Direction of arrival estimation; Intelligent sensors; Interference; Multiple signal classification; Sensor arrays; Sensor systems; Signal processing; Signal to noise ratio; Adaptive array; Beamforming; Smart Antenna; antenna;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Microwave Theory and Applications, 2008. MICROWAVE 2008. International Conference on
  • Conference_Location
    Jaipur
  • Print_ISBN
    978-1-4244-2690-4
  • Electronic_ISBN
    978-1-4244-2691-1
  • Type

    conf

  • DOI
    10.1109/AMTA.2008.4762967
  • Filename
    4762967