A forward/backward bootstrapped structure for blind separation of signals in a multi-channel dispersive environment

Author

Dinç, Abdulkadir ; Bar-Ness, Yeheskel

Author_Institution

Corporate Computer Systems, Holmdel, NJ, USA

Volume

3

fYear

1993

fDate

27-30 April 1993

Firstpage

376

Abstract

A multidimensional adaptive algorithm with a forward/backward bootstrapped structure for a dispersive channel environment is proposed. It is an alternative multisignal separator where the loop-bandwidth of the signal separator structure and steady-state performance are crucial. It separates superimposed convolutive multiuncorrelated signals. The bootstrapped adaptive algorithm, which does not require a training sequence, employs the minimization of output signal correlations as optimization criteria. The control algorithm is set for the multidimensional case. The learning process of the 2-D signal separator using computer simulation is investigated and compared with that of the least mean square (LMS) algorithm for different cross-channel eigenvalue spreads.<>

Keywords

adaptive filters; computer bootstrapping; correlation methods; eigenvalues and eigenfunctions; learning (artificial intelligence); multidimensional digital filters; telecommunication channels; telecommunications computer control; blind separation of signals; computer simulation; control algorithm; cross-channel eigenvalue spreads; dispersive channel; forward/backward bootstrapped structure; learning process; multidimensional adaptive algorithm; steady-state performance; superimposed convolutive multiuncorrelated signals;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on

Conference_Location

Minneapolis, MN, USA

ISSN

1520-6149

Print_ISBN

0-7803-7402-9

Type

conf

DOI

10.1109/ICASSP.1993.319513

Filename

319513