• DocumentCode
    232095
  • Title

    A stagewise fast DOA estimation method based on sparse signal representation

  • Author

    He Ke ; Chen Yong-guang ; Jia Xin ; Jia Li

  • Author_Institution
    Acad. of Equip., Beijing, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    1925
  • Lastpage
    1929
  • Abstract
    In this paper, a stagewise approach has been adopted in the Direction of Arrival (DOA) estimation procedure to improve the speed and efficiency of the whole estimation, i.e. a coarse estimation is firstly carried out by means of Minimum Variance Distortionless Response (MVDR) to provide a smaller searching angle for the secondary high precision estimator, which is realized by a modified Orthogonal Matching Pursuit (OMP) algorithm with the access of spatial over-complete dictionary. Simulations demonstrate that compared with methods that are based on sparse signal representation approaches the proposed method could provide a drastic reduction of the calculation load and meanwhile it could keep a better resolution than that of OMP or traditional methods like Multiple Signal Classification (MUSIC) under low SNR few snapshots, which has proved its effectiveness and efficiency.
  • Keywords
    compressed sensing; direction-of-arrival estimation; iterative methods; signal classification; signal representation; DOA estimation method; MUSIC; MVDR; direction of arrival estimation procedure; minimum variance distortionless response; modified OMP algorithm; multiple signal classification; orthogonal matching pursuit algorithm; sparse signal representation; spatial over-complete dictionary; Abstracts; Estimation; Multiple signal classification; Sensors; Signal representation; Signal resolution; Vectors; DOA estimation; compressive sensing; minimum variance distortionless response; orthogonal matching pursuit; pre-process; sparse signal representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015328
  • Filename
    7015328