• DocumentCode
    709238
  • Title

    Cumulants based processing of Acoustic Vector Sensor data

  • Author

    Agarwal, Ashish ; Kumar, Arun ; Agrawal, Monika

  • Author_Institution
    Centre for Appl. Res. in Electron., Indian Inst. of Technol., Delhi, Delhi, India
  • fYear
    2015
  • fDate
    23-25 Feb. 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Acoustic Vector Sensors measure acoustic pressure as well as the acoustic particle velocity to estimate the acoustic intensity. The acoustic intensity, which is a vector quantity, represents the magnitude and direction of the active or propagating part of an acoustic field thus indicating the DOA (Direction of arrival) of a received signal. Cumulant based beamforming and DOA estimation methods suitable for identification and extraction of desired non-gaussian signal in the presence of gaussian interferences and/or noise have been investigated and compared against covariance based alogorithm, the performance being measured in terms of Mean Square Angular Error (MSAE) and resolution.
  • Keywords
    Gaussian noise; acoustic intensity; acoustic signal processing; array signal processing; direction-of-arrival estimation; higher order statistics; mean square error methods; DOA estimation method; Gaussian interference; Gaussian noise; MSAE; acoustic intensity estimation; acoustic particle velocity measuremet; acoustic pressure measurement; acoustic vector sensor data cumulants based processing; cumulant based beamforming; direction of arrival estimation; mean square angular error; non-Gaussian signal extraction; signal resolution; Acoustic measurements; Array signal processing; Azimuth; Estimation; Manifolds; Signal to noise ratio; Spatial resolution; Acoustic Vector Sensor; Cumulants; DOA estimation; Ocean surveillance systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Underwater Technology (UT), 2015 IEEE
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-8299-8
  • Type

    conf

  • DOI
    10.1109/UT.2015.7108316
  • Filename
    7108316