• DocumentCode
    3519398
  • Title

    Blind ranges, frequencies and DOAS estimation for near field sources

  • Author

    Deng, Ke ; Yin, Qinye ; Wang, Huiming

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2125
  • Lastpage
    2128
  • Abstract
    Two novel algorithms are proposed for ranges, frequencies and direction-of-arrivals (DOAs) estimation of the narrow-band near field sources. By exploiting the time-domain and space-domain correlations of impinging signals jointly, we can identify 2p independent sources and estimate 3 groups of parameters with a uniformly linear array (ULA) of 2p + 1 elements, being double of the conventional methods. In addition, the peak search and pairing operations, needed in most algorithms for near field sources, can be omitted completely in our methods. Simulation results show that our two ESPRIT-based methods provide the improved performance over conventional ones based on the second-order statistics.
  • Keywords
    correlation methods; direction-of-arrival estimation; frequency-domain analysis; time-domain analysis; DOAS estimation; blind ranges; direction-of-arrival estimation; narrow-band near field sources; pairing operation; peak search; second-order statistics; space-domain correlation; time-domain correlation; uniformly linear array; Array signal processing; Delay estimation; Direction of arrival estimation; Frequency estimation; Narrowband; Parameter estimation; Signal processing; Signal processing algorithms; Statistics; Time domain analysis; Array signal processing; Direction of arrival estimation; Frequency estimation; Parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960036
  • Filename
    4960036