• DocumentCode
    247539
  • Title

    A low-complexity direction-of-arrival estimation algorithm for full-dimension massive MIMO systems

  • Author

    Kai-Yu Yang ; Jwo-Yuh Wu ; Wen-Hsuan Li

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2014
  • fDate
    19-21 Nov. 2014
  • Firstpage
    472
  • Lastpage
    476
  • Abstract
    Full dimension (FD) MIMO, whereby a 2-dimensional (2D) antenna array is placed at the base station, has been known as a promising solution to economize spatial size of practical massive MIMO systems. To exploit such spatial resource for system performance enhancement, e.g., via three-dimensional beamforming, accurate estimation of the direction-of-arrival (DoA) of the signal sources is necessary. Existing DoA estimation methods using 2D arrays typically resorted to joint search over the 2D angular domain; however, the required algorithmic complexity would be prohibitively large, especially in the massive MIMO scenario. This paper proposes a two-stage low-complexity DoA estimation scheme, in which two MUSIC algorithms are performed for estimating, respectively, the elevation and azimuth angles of the impinging sources. Detailed flop count analyses are provided for justifying the low-complexity advantage. Various numerical simulations are also used to illustrate the performance of the proposed scheme.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; direction-of-arrival estimation; signal classification; 2D antenna array; 3D beamforming; FD MIMO; MUSIC algorithms; direction-of-arrival estimation algorithm; flop count analyses; full-dimension massive MIMO systems; multiple signal classification; Azimuth; Direction-of-arrival estimation; Estimation; Joints; MIMO; Manganese; Multiple signal classification; Direction of Arrival (DoA); ESPRIT; Full-Dimension MIMO; MUSIC; Massive MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems (ICCS), 2014 IEEE International Conference on
  • Conference_Location
    Macau
  • Type

    conf

  • DOI
    10.1109/ICCS.2014.7024848
  • Filename
    7024848