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
Link To Document