• DocumentCode
    1870084
  • Title

    Estimation of the Directions-of-Arrival of correlated signals by means of a SVM-based multi-resolution approach

  • Author

    Lizzi, Leonardo ; Oliveri, Giacomo ; Rocca, Paolo ; Massa, Andrea

  • Author_Institution
    ELEDIA Res. Group, Univ. of Trento, Trento, Italy
  • fYear
    2010
  • fDate
    11-17 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper analyzes a method for the DOA estimation of correlated signals based on the integration of a SVM classifier and an iterative multi-scaling approach (IMSA). The aim of the SVM classifier is the definition of a probability map of the angular directions of incidence of the incoming signals starting from the knowledge of the correlation matrix of the antenna array, while the IMSA procedure is used to reduce the computational load as well as to increase the angular resolution accuracy.
  • Keywords
    adaptive antenna arrays; direction-of-arrival estimation; support vector machines; DOA estimation; SVM based multiresolution approach; antenna array; correlated signal; correlation matrix; direction of arrival; smart antenna; Antenna arrays; Arrays; Artificial neural networks; Direction of arrival estimation; Estimation; Signal resolution; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
  • Conference_Location
    Toronto, ON
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-4967-5
  • Type

    conf

  • DOI
    10.1109/APS.2010.5560955
  • Filename
    5560955