• DocumentCode
    49955
  • Title

    Low complexity method for DOA estimation using array covariance matrix sparse representation

  • Author

    He, Z.Q. ; Liu, Qing Huo ; Jin, L.N. ; Ouyang, Shihong

  • Author_Institution
    Sch. of Inf. & Commun., Guilin Univ. of Electron. Technol., Guilin, China
  • Volume
    49
  • Issue
    3
  • fYear
    2013
  • fDate
    Jan. 31 2013
  • Firstpage
    228
  • Lastpage
    230
  • Abstract
    A low complexity method for direction-of-arrival (DOA) estimation via array covariance matrix sparse representation is proposed, in which DOA estimation can be cast as the sparse recovery problem of only a single measurement vector when multiple snapshots are available. Based on the Khatri-Rao product, the proposed method shows an extended-aperture and leads to a significant improvement in the resolution limit. Simulation results confirm the efficacy of the proposed method.
  • Keywords
    array signal processing; covariance matrices; direction-of-arrival estimation; signal representation; DOA estimation; Khatri-Rao product; array covariance matrix sparse representation; direction-of-arrival estimation; low complexity method; single measurement vector; sparse recovery problem;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2012.4032
  • Filename
    6457588
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=49955