• DocumentCode
    1776143
  • Title

    Blind source separation-based multi-user detection for multi-antenna QAM receivers with I/Q imbalances

  • Author

    Yang, Tao ; Salama, Yassir ; Matyjas, John ; Michalak, Richard

  • Author_Institution
    Electr., Comput., Software & Syst. Eng., Embry-Riddle Aeronaut. Univ., Daytona Beach, FL, USA
  • fYear
    2014
  • fDate
    5-7 June 2014
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    This paper presents a blind multi-user detection technique for multi-antenna quadrature amplitude modulation (QAM) receivers with Inphase/Quadrature phase (I/Q) imbalances. The estimation of multiple users in the presence of I/Q imbalances is performed by Blind Source Separation (BSS) methods. While the complex-valued signal model for multi-antenna QAM receivers does not lend itself to BSS due to the effect of I/Q imbalances, reformulating the signal model to a real-valued equivalent form enables the application of BSS. The proposed method enables multiple users to share the same bandwidth simultaneously in different geographical locations, and avoids the need for the knowledge of the channel state information. In addition, despite of the presence of I/Q imbalances in all receiver branches, the number of antenna required in the receiver is equal to the number of users. Computer simulations are conducted using the popular Fast-ICA (Independent Component Analysis) algorithm, and the simulation results confirmed the effectiveness of the proposed technique.
  • Keywords
    antenna arrays; blind source separation; independent component analysis; multiuser detection; quadrature amplitude modulation; receivers; BSS methods; I/Q imbalances; blind source separation-based multiuser detection; channel state information; fast-ICA algorithm; independent component analysis; inphase-quadrature phase imbalances; multiantenna QAM receivers; multiantenna quadrature amplitude modulation receivers; real-valued equivalent form; Interference; MIMO; OFDM; Quadrature amplitude modulation; Receivers; Signal to noise ratio; Vectors; I/Q equalization; Multi-antenna receivers; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2014 IEEE International Conference on
  • Conference_Location
    Milwaukee, WI
  • Type

    conf

  • DOI
    10.1109/EIT.2014.6871765
  • Filename
    6871765