• DocumentCode
    743184
  • Title

    Near-field source localisation using a velocity sensor array

  • Author

    Zhaoting Liu ; Zhangxin Pan

  • Author_Institution
    Dept. of Electron. Eng., Shaoxing Univ., Shaoxing, China
  • Volume
    7
  • Issue
    7
  • fYear
    2013
  • fDate
    8/1/2013 12:00:00 AM
  • Firstpage
    727
  • Lastpage
    735
  • Abstract
    This study presents a new algorithm for near-field source localisation by using a uniform linear array consisting of velocity-sensor pairs (VSPs). Two schemes are used for range and direction of arrival (DOA) estimation in the proposed algorithm. The first one exploits the acoustic velocity vector field´s two Cartesian components and the triangular location relationship among the near-field sources and the VSPs. The resulting range and DOA estimates are ambiguity-free, regardless of the inter-sensor spacing. Whereas the second scheme uses the so-called electric angles to determine the ranges and DOAs. Although the derived estimates may be ambiguous in the case of the inter-sensor spacing larger than a quarter wavelength, this ambiguity can be removed by using the estimates obtained in the first scheme. Therefore the proposed algorithm can offer high estimation accuracy by increasing inter-sensor spacing (because of array aperture extension). In addition, the proposed algorithm does not require multidimensional search, pairing parameters or high-order statistics, hence, has a low computational complexity.
  • Keywords
    array signal processing; computational complexity; direction-of-arrival estimation; Cartesian components; DOA estimation; VSP; acoustic velocity vector field; array aperture extension; computational complexity; electric angles; estimation accuracy; intersensor spacing; near-field source localisation; near-field sources; triangular location relationship; uniform linear array; velocity sensor array; velocity-sensor pairs;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2012.0305
  • Filename
    6582138