• DocumentCode
    718688
  • Title

    Performance study of beamspace processing DOA estimation by MUSIC and Capon methods

  • Author

    Yuri, Nechaev ; Ilia, Peshkov

  • Author_Institution
    Inf. Syst. Dept., Voronezh State Univ., Voronezh, Russia
  • fYear
    2015
  • fDate
    21-23 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the paper superresolution direction-of-arrival estimation methods such as MUSIC, Capon after beamspace processing i.e. BS-MUSIC and BS-Capon are considered. The main difference beamspace doa-estimation methods from classical ones is in that they decrease computational load of digital signal processing on CPU by using linear algebra with matrices and vectors of lower dimensions. The impact of choosing the decreasing computational load and dimensions methods of antenna array on accuracy of direction-of-arrival estimation are researched. The paper shows numerical values of root mean square error of BS-MUSIC and BS-Capon depending on signal-noise ratio, the number of orthogonal beam patterns and time of average of spatial correlation matrix. The estimations are studied in common typical environments which are most frequently encountered in real applications.
  • Keywords
    array signal processing; correlation methods; direction-of-arrival estimation; matrix algebra; mean square error methods; signal resolution; BS-Capon method; BS-MUSIC method; CPU; antenna array; beamspace processing DOA estimation; computational load reduction; digital signal processing; linear algebra; lower dimension vector; orthogonal beam patterns; root mean square error; signal-noise ratio; spatial correlation matrix; superresolution direction-of-arrival estimation method; Accuracy; Arrays; Direction-of-arrival estimation; Discrete Fourier transforms; Estimation; Multiple signal classification; Noise; antenna array; beamforming; beamspace processing; superresolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Communications (SIBCON), 2015 International Siberian Conference on
  • Conference_Location
    Omsk
  • Print_ISBN
    978-1-4799-7102-2
  • Type

    conf

  • DOI
    10.1109/SIBCON.2015.7147173
  • Filename
    7147173