• DocumentCode
    1880393
  • Title

    Performance analysis of direction of arrival estimation with a uniform circular array

  • Author

    Weber, Raymond J. ; Huang, Yikun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
  • fYear
    2012
  • fDate
    3-10 March 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    High resolution directional of arrival (DOA) estimation technology play an important role in passive RF signal source localization, enhancing the performance of MIMO and beamforming arrays for mobile wireless communication. This paper presents the performance analysis and comparison for MUltiple SIgnal Classification (MUSIC) DOA estimation algorithm with uniform circular arrays (UCA). It has been reported that DOA estimation accuracy can also be fundamentally limited by the size of the region over which we measure a waveform. This paper we present our study for DOA estimation with UCAs in the presence of mutual coupling. The dipole model has been chosen for mutual coupling matrix calculation. Root mean square error (RMSE) of DOA estimation vs. array radius with and without mutual coupling, with different number of signal sources, for even and odd array element number were presented.
  • Keywords
    array signal processing; dipole antenna arrays; direction-of-arrival estimation; matrix algebra; mean square error methods; signal classification; DOA estimation algorithm; MIMO array; array element number; array radius; beamforming array; dipole model; direction of arrival estimation; mobile wireless communication; multiple signal classification; mutual coupling matrix calculation; passive RF signal source localization; performance analysis; root mean square error; signal sources; uniform circular array; Accuracy; Arrays; Direction of arrival estimation; Estimation; Multiple signal classification; Mutual coupling; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2012 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4577-0556-4
  • Type

    conf

  • DOI
    10.1109/AERO.2012.6187087
  • Filename
    6187087