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 :
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