• DocumentCode
    2109092
  • Title

    Fast algorithm for direction of arrival based on time-frequency distributions

  • Author

    Liu, Lutao ; Wang, Liguo

  • Author_Institution
    Col. of Telecommun. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    772
  • Lastpage
    775
  • Abstract
    Time-frequency distribution (TFD) method has received a considerable amount of attention in Direction of Arrival (DOA) estimation of multi-senor and time space processing, which lead to improved spatial resolution and source separation performances. According to the characteristic of the different time-frequency distribution of each source, a novel approach of time-frequency DOA estimation is provided based on the propagator method (PM). Compared with the conventional approaches, the presented method has lower computational complexity with insignificant performance degradation for DOA estimation. Furthermore, in the proposed method of time-frequency DOA estimation, propagator can be obtained without a priori knowledge of the number of impinging sources on array if t-f points in time-frequency domain are chosen appropriately, which widens the application of propagator to Radar, Sonar and passive detection system. The effectiveness and high resolution of the algorithms is verified via computer simulations.
  • Keywords
    computational complexity; direction-of-arrival estimation; source separation; computational complexity; direction of arrival estimation; fast algorithm; propagator method; source separation; spatial resolution; time space processing; time-frequency distributions; Arrays; Direction of arrival estimation; Estimation; Noise; Signal processing algorithms; Time frequency analysis; Array signal processing; DOA estimation; PM; subspace analysis; time-frequency distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6942-0
  • Type

    conf

  • DOI
    10.1109/ICITIS.2010.5689682
  • Filename
    5689682