• DocumentCode
    2051846
  • Title

    Adaptive lattice filters for band-inverse covariance matrix approximations

  • Author

    Lekhovytskiy, D. ; Ryabykha, V. ; Zarytskiy, V. ; Zhuga, G. ; Rachkov, D. ; Semenyaka, A.

  • Author_Institution
    Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine
  • fYear
    2010
  • fDate
    23-27 Feb. 2010
  • Firstpage
    338
  • Lastpage
    338
  • Abstract
    Theory of adaptive lattice filters, developed originally for stationary processes with Toeplitz covariance matrices, was well-established by the pioneering contributions of Burg, Kailath, Friendlander. The lattice filters are intimately related to the well-known Levinson algorithm, that requires 0(N2) operations for N¿N Toeplitz covariance matrix inversion, and exploit Burg technique for adaptive estimation of reflection coefficients that naturally preserves positive definiteness of the estimated Toeplitz covariance matrix.
  • Keywords
    Toeplitz matrices; adaptive filters; covariance matrices; lattice filters; Burg technique; Levinson algorithm; Toeplitz covariance matrix inversion; adaptive estimation; adaptive lattice filters; band-inverse covariance matrix approximations; reflection coefficients; stationary processes; Adaptive filters; Covariance matrix; Entropy; Filtering theory; Lattices; Least squares approximation; Nonlinear filters; Radar clutter; Radar signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
  • Conference_Location
    Lviv-Slavske
  • Print_ISBN
    978-966-553-875-2
  • Electronic_ISBN
    978-966-553-901-8
  • Type

    conf

  • Filename
    5445957