• DocumentCode
    2341375
  • Title

    New cumulant matrices for DOA estimation

  • Author

    Du, Jinxiang ; Feng, Xian ; Wang, Huigang

  • Author_Institution
    Coll. of Marine, Northwestern Polytech. Univ., Xi´´an
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    2992
  • Lastpage
    2994
  • Abstract
    We address in this paper the bearing estimation problem in the presence of spatially correlated Gaussian color noise. Two fourth-order cumulant matrices are presented. Beamspace data are processed to calculate the diagonal slice matrix and the contracted quadricovariance matrix, as a result the computation can be reduced by downsizing the cumulant matrices. The estimation performance, however, can be improved. Simulation results are presented to show that the beamspace matrices have higher resolution and lower root mean square errors than their equivalent methods in the element domain.
  • Keywords
    covariance matrices; direction-of-arrival estimation; mean square error methods; signal denoising; DOA estimation; beamspace data; beamspace matrices; contracted quadricovariance matrix; correlated Gaussian color noise; diagonal slice matrix; fourth-order cumulant matrices; root mean square errors; Colored noise; Computational modeling; Direction of arrival estimation; Educational institutions; Gaussian noise; Matrices; Root mean square; Sensor arrays; Signal resolution; Statistics; DOA; beamspace; cumulant; estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138757
  • Filename
    5138757