Convergence rate of a number of signal processing algorithms in adaptive arrays

Author

Ryabukha, V.P. ; Dokhov, A.I. ; Zarytskiy, V.I. ; Rachkov, Dmytro S. ; Semeniaka, Andrii V. ; Katiushin, Ie A. ; Zarytskaia, V.V.

Author_Institution

Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine

fYear

2013

fDate

16-20 Sept. 2013

Firstpage

304

Lastpage

306

Abstract

We compare the convergence rates of adaptive algorithms of four kinds: correlation automatic cancellers of interference; quasi-Newton algorithms based on maximum likelihood (ML) estimates of interference correlation matrices and diagonally regularized kinds of these ML estimates; and adaptive lattice filters.

Keywords

Newton method; adaptive filters; adaptive signal processing; array signal processing; convergence of numerical methods; correlation methods; interference (signal); interference suppression; lattice filters; matrix algebra; maximum likelihood estimation; ML estimation; adaptive array; adaptive lattice filters; automatic correlation interference canceller; convergence rate; diagonal regularization; interference correlation matrix; maximum likelihood estimation; quasi-Newton algorithm; signal processing algorithm; Convergence; Correlation; Filtering theory; Interference; Lattices; Maximum likelihood estimation; Signal to noise ratio; adaptive lattice filters; gradient adaptive algorithm; maximum likelihood estimates of correlation matrix; regularization;

fLanguage

English

Publisher

ieee

Conference_Titel

Antenna Theory and Techniques (ICATT), 2013 IX International Conference on

Conference_Location

Odessa

Print_ISBN

978-1-4799-2896-5

Type

conf

DOI

10.1109/ICATT.2013.6650759

Filename

6650759