• DocumentCode
    649030
  • Title

    Low-cost antenna array via antenna switching for high resolution 2-D DOA estimation

  • Author

    Doi, Yoshihito ; Moriya, Hiroki ; Ichige, Koichi ; Arai, Hiroyuki ; Hayashi, Teruaki ; Matsuno, Hiromi ; Nakano, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Yokohama, Japan
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    This paper presents a method of synthesizing covariance matrix elements of array input signal for high resolution 2-D Direction-Of-Arrival (DOA) estimation via antenna (sensor) switching. Antenna array generally has the same number of array elements and receiver modules which often leads large receiver hardware cost. Two of the authors have already studied a way of antenna switching to reduce receiver cost, but it can be applied only for periodic incident signals like sinusoid. In this paper, we propose a simple method of DOA estimation from sparse data by synthesizing covariance matrix elements of array input signal via antenna switching, which can also be applied to DOA estimation of antiperiodic incident signals. Performance of the proposed approach is evaluated in detail through some computer simulation.
  • Keywords
    antenna arrays; array signal processing; covariance matrices; direction-of-arrival estimation; radio receivers; signal resolution; antenna switching; antiperiodic incident signals; array elements; array input signal; covariance matrix elements; high resolution 2D DOA estimation; high resolution 2D direction-of-arrival estimation; low-cost antenna array; receiver hardware cost; receiver modules; sensor switching; sparse data; antenna array; array signal processing; direction of arrival estimation; sensor array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2013 IEEE Workshop on
  • Conference_Location
    Taipei City
  • ISSN
    2162-3562
  • Type

    conf

  • DOI
    10.1109/SiPS.2013.6674485
  • Filename
    6674485