• DocumentCode
    2741626
  • Title

    A new DOA estimation algorithm for ARMA sources applied to sperm-whale localization

  • Author

    Navarro-Mesa, J.L. ; Hernández-Pérez, E. ; Ravelo-García, A. ; Quintana-Morales, P. ; Martin-Gonzalez, S.

  • Author_Institution
    Inst. para el Desarrollo Tecnol. y la Innovacion en Comun. (IDeTIC), Univ. de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    We present a new method for DOA estimation that relies on the assumption that the sources can be modelled as ARMA. A matrix formulation is introduced in the frequency domain so that the available information from the sources can be incorporated thus allowing the DOA estimation with a few sensors and achieve good estimates with acceptable computational demand. Due to the nature of the ARMA models we can formulate a so called extended array and give mathematical foundation of the new algorithm. A set of simulations is performed on real sources (sperm-whales) of interest for the scientific community of biologists. Our results show that our method performs well for a wide range of DOAs and compares favourably with other proposed methods in terms of accuracy and precision of the estimations.
  • Keywords
    acoustic signal processing; autoregressive moving average processes; direction-of-arrival estimation; geophysical signal processing; matrix algebra; underwater acoustic propagation; ARMA sources; DOA estimation algorithm; biologist; direction-of-arrival estimation; frequency domain; matrix formulation; scientific community; sperm-whale localization; Arrays; Computational modeling; Covariance matrix; Direction of arrival estimation; Estimation; Frequency domain analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
  • Conference_Location
    Hoboken, NJ
  • ISSN
    1551-2282
  • Print_ISBN
    978-1-4673-1070-3
  • Type

    conf

  • DOI
    10.1109/SAM.2012.6250491
  • Filename
    6250491