• DocumentCode
    231485
  • Title

    Spatial-time-frequency direction-of-arrival estimation algorithm based on variable core function

  • Author

    Shujun Lu ; Shilian Wang ; Jiang Zhu ; Yaomin Li

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    325
  • Lastpage
    329
  • Abstract
    The classic Time-Frequency MUSIC algorithm engrosses a lot´s of calculation, and can´t adapt to signals with different time-frequency characteristics. A novel algorithm which employs variable core function propitious to different signal separately is proposed in this paper to overcome aforementioned problems. By selecting the type and length of window on time and frequency domain, this algorithm can control the side lobe power leakage of uninterested signal to below the power level of noise, and assures the accuracy of DOA estimation of interested frequency-hopping signal. This algorithm engrosses less calculation than classic TF-MUSIC algorithm and enhance the stability of spatial-time-frequency DOA estimation, but endures a slight DOA estimation performance degradation caused by calculation simplification. The simulation results confirm feasibility and superiority of the proposed algorithm.
  • Keywords
    direction-of-arrival estimation; time-frequency analysis; DOA estimation; TF-MUSIC algorithm; frequency-hopping signal; spatial-time-frequency direction-of-arrival estimation algorithm; time-frequency MUSIC algorithm; variable core function; Algorithm design and analysis; Arrays; Direction-of-arrival estimation; Estimation; Frequency estimation; Noise; Time-frequency analysis; Spatial-Time-Frequency Direction-of-Arrival Estimation; Time-Frequency Analysis; Variable Core Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015022
  • Filename
    7015022