• DocumentCode
    2242113
  • Title

    Expectation Maximization - Matrix Pencil Method for Direction of Arrival estimation

  • Author

    Yerriswamy, T. ; Jagadeesha, S.N. ; Gudino, Lucy J.

  • Author_Institution
    Dept. of Inf. Sc. & Eng., P. D. Inst. of Technol., Hospet, India
  • fYear
    2010
  • fDate
    21-23 July 2010
  • Firstpage
    91
  • Lastpage
    95
  • Abstract
    In this paper, we present a Direction of Arrival estimation algorithm by combining Expectation Maximization (EM) and Matrix Pencil Method (MPM). It is possible that, when using a long uniform array, a few elements may fail, or the half-wavelength spacing between the elements may not be satisfied due to the spatial constraint. Under such situation, the array is known as sublattice array, which is a NonUniform Linear Array (NULA). Well known Matrix Pencil Method (MPM) cannot be directly applied for sublattice array, because the MPM technique exploits the uniform array geometry. The proposed method is a combination of the EM and the MPM technique. The EM algorithm estimates the output of the omitted or missing elements to form an equivalent output of the uniform linear array, and then, the application of MPM is possible. This technique improves the performance significantly and also has the computational advantage, when the sublattice array is considered.
  • Keywords
    direction-of-arrival estimation; expectation-maximisation algorithm; linear antenna arrays; matrix algebra; direction of arrival estimation; expectation maximization-matrix pencil method; half-wavelength spacing; nonuniform linear array; uniform array geometry; Arrays; Direction of arrival estimation; Estimation; Matrix decomposition; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems Networks and Digital Signal Processing (CSNDSP), 2010 7th International Symposium on
  • Conference_Location
    Newcastle upon Tyne
  • Print_ISBN
    978-1-4244-8858-2
  • Electronic_ISBN
    978-1-86135-369-6
  • Type

    conf

  • Filename
    5580451