• DocumentCode
    178292
  • Title

    A computationally efficient source localization method for a mixture of near-field and far-field narrowband signals

  • Author

    Weiliang Zuo ; Jingmin Xin ; Jiasong Wang ; Nanning Zheng ; Sano, Akihide

  • Author_Institution
    Inst. of Artificial Intell. & Robot., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    2257
  • Lastpage
    2261
  • Abstract
    In this paper, we consider the source localization for a mixed near-field (NF) and far-field (FF) narrowband signals impinging on a uniform linear array (ULA) with the symmetrical geometric configuration. A computationally efficient direction-of-arrivals (DOAs) and range estimation method for the mixed NF and FF signals is proposed, where the DOAs of the NF and FF signals are estimated separately, and the computationally burdensome eigendecomposition is avoided. Comparing to some existent methods, the proposed method can separate the NF signals from the FF signals more efficiently, and consequently the estimation performance is improved. The effectiveness of the proposed method is verified though numerical examples.
  • Keywords
    direction-of-arrival estimation; eigenvalues and eigenfunctions; DOA; computationally burdensome eigendecomposition; direction-of-arrivals; far-field narrowband signals; near-field narrowband signals; range estimation; source localization method; uniform linear array; Arrays; Covariance matrices; Direction-of-arrival estimation; Estimation; Noise measurement; Signal to noise ratio; Source localization; direction-of-arrival; far-field; near-field; uniform linear array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854001
  • Filename
    6854001