• DocumentCode
    2861660
  • Title

    Study on DOA estimation algorithm for smart antenna of uniform circular

  • Author

    Zhang, Huilong ; Ma, Xiurong ; Cheng, Yunxiang ; Bai, Yuan

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    15
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Aiming at overcoming the shortages of uniform circular smart antenna in TD-SCDMA system in coherent multi-path environment, an improved uniform circular array for Direction of Arrival (DOA) based on genetic algorithm is proposed. The algorithm adapts spatial fore-processing technology to transform UCA to ULA, and makes the phase space of array manifold satisfy Vandermonde array. So we can adapt the forward/conjugate backward spatial smoothing technique and then use the global optimization of genetic algorithm for seeking spatial peak to obtain good performance of parameter estimation. The simulation results show that the improved algorithm in coherent multi-path environments can estimate the direction of moving target accurately. Compared with the improved UCA-ESPRIT algorithm, the estimation accuracy has improved greatly, and the BER of user data declines much faster.
  • Keywords
    adaptive antenna arrays; direction-of-arrival estimation; error statistics; BER; DOA estimation algorithm; TD-SCDMA system; UCA-ESPRIT algorithm; direction of arrival; forward/conjugate backward spatial smoothing technique; spatial fore-processing technology; uniform circular smart antenna; Antenna arrays; Antenna measurements; Artificial neural networks; Instruments; Multiaccess communication; Performance evaluation; Signal to noise ratio; DOA estimation; TD-SCDMA; smart antenna; uniform circular arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622462
  • Filename
    5622462