• DocumentCode
    3290926
  • Title

    Analysis of performance for multiple signal classification (MUSIC) in estimating direction of arrival

  • Author

    Khan, Z.I. ; Kamal, M. MD ; Hamzah, N. ; Othman, K. ; Khan, N.I.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Technol. Mara Malaysia, Shah Alam
  • fYear
    2008
  • fDate
    2-4 Dec. 2008
  • Firstpage
    524
  • Lastpage
    529
  • Abstract
    Array processing involves manipulation of signals induced on various antenna elements. Its capabilities of steering nulls to reduce co channel interferences and pointing independent beams toward various mobiles, as well as its ability to provide estimates of directions of radiating sources, make it attractive to a mobile communication system designer. In this paper MUSIC algorithm was implemented in Matlab to optimize the number of samples and number of elements with the presence of noise. The optimization was conducted in different configurations to improve the performance of the algorithm in estimating the direction of arrival (DOA) of the incident signals. The data captured was analysed in order to obtain the real performance of the algorithm by using statistical analysis.
  • Keywords
    array signal processing; cochannel interference; direction-of-arrival estimation; interference suppression; signal classification; statistical analysis; wireless channels; MUSIC algorithm; antenna element; array processing; co channel interference reduction; direction-of-arrival estimation; mobile communication system; multiple signal classification; optimization; signal manipulation; statistical analysis; Algorithm design and analysis; Array signal processing; Data analysis; Direction of arrival estimation; Interference; Mobile communication; Multiple signal classification; Performance analysis; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RF and Microwave Conference, 2008. RFM 2008. IEEE International
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-2866-3
  • Electronic_ISBN
    978-1-4244-2867-0
  • Type

    conf

  • DOI
    10.1109/RFM.2008.4897465
  • Filename
    4897465