• DocumentCode
    1129256
  • Title

    Radial basis function neural network for direction-of-arrivals estimation

  • Author

    Lo, Titus ; Leung, Henry ; Litva, John

  • Author_Institution
    Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    1
  • Issue
    2
  • fYear
    1994
  • Firstpage
    45
  • Lastpage
    47
  • Abstract
    The authors propose the use of a radial basis function (RBF) network for direction-of-arrival (DOA) estimation. The RBF network is used to approximate the functional relationship between sensor outputs and the direction of arrivals. Simulation results show that the new technique has a better performance in terms of estimation errors than the standard MUSIC algorithm.<>
  • Keywords
    array signal processing; feedforward neural nets; DOA estimation; RBF network; direction-of-arrivals estimation; estimation errors; neural network; performance; radial basis function; sensor outputs; simulation results; Direction of arrival estimation; Estimation error; Frequency; Hopfield neural networks; Multiple signal classification; Neural networks; Phased arrays; Radial basis function networks; Sensor arrays; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.300315
  • Filename
    300315
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1129256