• DocumentCode
    160777
  • Title

    DOA estimation by applying compressed sensing techniques

  • Author

    Nishimura, T. ; Ogawa, Y. ; Ohgane, Takeo

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
  • fYear
    2014
  • fDate
    4-6 Aug. 2014
  • Firstpage
    121
  • Lastpage
    122
  • Abstract
    A novel estimation method for direction of arrival angle is introduced. A compressed sensing technique is applied to this application. The resolution of the proposed method is superior to conventional methods such as the MUSIC. Furthermore, we show that the performance can be enhanced when the source signal is multi-band.
  • Keywords
    compressed sensing; direction-of-arrival estimation; DOA estimation; MUSIC; compressed sensing techniques; direction of arrival angle; multiband source signal; Arrays; Compressed sensing; Direction-of-arrival estimation; Estimation; Multiple signal classification; Optimization; Vectors; Compressed sensing; DOA estimation; Malti-band signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics (iWEM), 2014 IEEE International Workshop on
  • Conference_Location
    Sapporo
  • Type

    conf

  • DOI
    10.1109/iWEM.2014.6963666
  • Filename
    6963666