• DocumentCode
    3349503
  • Title

    DOA estimation of multiple moving sources using recursive EM algorithms

  • Author

    Chung, Pei Jung ; Böhme, Johann F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2002
  • fDate
    4-6 Aug. 2002
  • Firstpage
    323
  • Lastpage
    326
  • Abstract
    The paper deals with maximum likelihood (ML) direction of arrival (DOA) estimation of multiple moving sources. The time-varying DOAs are described by a linear polynomial. Based on the recursive EM algorithm, we develop a recursive procedure to estimate the coefficients of the corresponding polynomial. Because of the simple structure of the augmented data, the resulting recursion has a very simple implementation. Compared to the recursive algorithm developed by L. Frenkel and M. Feder (see IEEE Trans. Sig. Processing, vol.47, no.2, p.306-20, 1999), our approach has the advantage of being insensitive to signal variations. In addition, extension to the wideband case is straightforward. Simulation results show that closely spaced signals can be successfully tracked by the proposed method.
  • Keywords
    array signal processing; direction-of-arrival estimation; maximum likelihood estimation; optimisation; polynomials; recursive estimation; DOA estimation; augmented data; direction of arrival estimation; linear polynomial; maximum likelihood estimation; multiple moving sources; recursive EM algorithms; recursive expectation maximization algorithms; sensor array; Approximation algorithms; Covariance matrix; Data mining; Direction of arrival estimation; Maximum likelihood estimation; Polynomials; Radar tracking; Recursive estimation; Sensor arrays; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002
  • Print_ISBN
    0-7803-7551-3
  • Type

    conf

  • DOI
    10.1109/SAM.2002.1191053
  • Filename
    1191053