• DocumentCode
    3328921
  • Title

    Experimental Studies on Direction Finding Via Blind Beamforming

  • Author

    Zhuo, Jie ; Sun, Chao ; Yang, Yixin

  • Author_Institution
    Inst. of Acoust. Eng., Northwestern Polytech. Univ., Xi´´an
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    Blind beamforming algorithms have the ability to recover the desired signals from array outputs without any prior knowledge of the array geometry. After blind separation of the signals, the DOAs can be estimated for each source individually. In this paper, the performance of the multistage constant modulus (CM) array, one of the most striking blind beamforming algorithms, for the source DOA estimation was analyzed via water tank experiments, and was compared to that of other DOA estimation algorithms including the ´non-blind´ and the ´blind´ algorithms. Results of water tank experiments showed that the multistage CM array can not only blindly recover the independent signal, but also correctly estimate the DOAs. The angle separating ability of the CM array was beyond the Rayleigh resolution limit.
  • Keywords
    array signal processing; blind source separation; direction-of-arrival estimation; array geometry; blind beamforming algorithm; blind signal separation; direction finding; direction-of-arrival estimation; multistage constant modulus array; Algorithm design and analysis; Array signal processing; Data models; Direction of arrival estimation; Geometry; Narrowband; Performance analysis; Robustness; Sensor arrays; Signal processing algorithms; Blind Beamforming; DOA Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on
  • Conference_Location
    St. Thomas, VI
  • Print_ISBN
    978-1-4244-1713-1
  • Electronic_ISBN
    978-1-4244-1714-8
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2007.4498020
  • Filename
    4498020