• DocumentCode
    1881262
  • Title

    Joint frequency-elevation-azimuth estimation without pairing using L-shaped array

  • Author

    Wang, Hai ; Wu, Yuntao ; Zhang, Yanbin ; Cao, Hui

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Wuhan Inst. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    320
  • Lastpage
    325
  • Abstract
    A new method for joint frequency, azimuth and elevation estimation of multiple narrow-band sources with L-shape array is presented. The key idea is based on subspace method with time-domain rotation and the estimations of the frequency parameter are firstly obtained from the eigenvalues of a constructed matrix, an estimation of array manifold matrix is given by the corresponding eigenvectors. Then the estimations of azimuth and elevation angle are obtained from the resultant array manifold. Compared to the available 2-D ESPRIT or the Propagator Method(PM), this method does not need any parameter matching, especially, this proposed method works well in case of lower signal to noise ratio (SNR) through a noise power reduction procedure.
  • Keywords
    array signal processing; direction-of-arrival estimation; eigenvalues and eigenfunctions; frequency estimation; matrix algebra; time-domain analysis; 2D DOA; 2D ESPRIT; L-shaped array; SNR; array manifold matrix estimation; direction-of-arrival estimation; eigenvalues; eigenvectors; estimation of signal parameter via rotational invariance techniques; frequency parameter estimation; joint frequency-elevation-azimuth angle estimation; lower signal to noise ratio; multiple narrowband sources; noise power reduction; parameter matching; propagator method; subspace method; time-domain rotation; Arrays; Azimuth; Eigenvalues and eigenfunctions; Estimation; Frequency estimation; Joints; Signal to noise ratio; 2-D angle estimation; L-shape array; frequency estimation; subspace-based method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335608
  • Filename
    6335608