• DocumentCode
    782581
  • Title

    Fourth-Order and Weighted Mixed Order Direction-of-Arrival Estimators

  • Author

    Lie, Suwandi ; Leyman, A. Rahim ; Chew, Yong Huat

  • Author_Institution
    Inst. for Infocomm Res.
  • Volume
    13
  • Issue
    11
  • fYear
    2006
  • Firstpage
    691
  • Lastpage
    694
  • Abstract
    In this letter, two direction-of-arrival (DOA) estimators are proposed: one is a new fourth-order cumulant-based technique, and the other is a joint second- and fourth-order cumulant technique. Using the full set of cumulants for DOA estimation is computationally expensive; conversely, using a downsized quadricovariance matrix leads to poor DOA estimates. This letter proposes the choice of efficient quadricovariance matrices to be used in the fourth-order estimator. Then, together with these matrices, a joint second- and fourth-order DOA estimator is derived. Both algorithms perform reasonably better than existing fourth-order and second-order algorithms in a spatially correlated Gaussian noise environment
  • Keywords
    Gaussian noise; correlation theory; covariance matrices; direction-of-arrival estimation; higher order statistics; signal processing; correlated Gaussian noise environment; direction of arrival estimation; fourth-order cumulant-based technique; quadricovariance matrix; second-order cumulant technique; weighted mixed order DOA estimator; Covariance matrix; Direction of arrival estimation; Gaussian noise; Higher order statistics; Narrowband; Robustness; Sensor arrays; Spatial resolution; Vectors; Wireless sensor networks; Direction-of-arrival (DOA) estimation; eigenmatices; higher order statistics; joint diagonalization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2006.879456
  • Filename
    1707737