• DocumentCode
    714958
  • Title

    A novel DOA estimation method for closely spaced multiple sources with large power differences

  • Author

    Yang Gao ; Xin Jia ; Jia Xu ; Teng Long ; Xiang-Gen Xia

  • Author_Institution
    Acad. of Equip., Beijing, China
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Firstpage
    1276
  • Lastpage
    1279
  • Abstract
    The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.
  • Keywords
    array signal processing; direction-of-arrival estimation; numerical analysis; signal classification; signal resolution; Capon-MUSIC algorithm; DOA estimation method; array signal processing; closely spaced multiple source; direction of arrival estimation method; large power difference; low power source resolution; numerical experiment; root-MUSIC algorithm; Arrays; Direction-of-arrival estimation; Estimation; Multiple signal classification; Signal processing algorithms; Signal resolution; Signal to noise ratio; Capon algorithm; Capon-MUSIC algorithm; MUSIC algorithm; Root-MUSIC algorithm; closely spaced sources; direction of arrival (DOA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131191
  • Filename
    7131191