Forward/inverse blind equalization

Author

Lambert, Russell H. ; Nikias, Chrysostomos L.

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

2

fYear

1994

fDate

31 Oct-2 Nov 1994

Firstpage

1463

Abstract

A new technique for blind equalization is presented which estimates the inverse (deconvolution) multipath channel and the forward channel as well. This method removes the need for an ad hoc energy constraint on the filter taps and constrains the equalization filter by relating the output back to the equalizer input. The concept of feedback is used to provide a more meaningful constraint for blind equalization filters. The real advantage of the method is increased speed of convergence over traditional stochastic gradient methods, and greater robustness to eigenvalue spread. These benefits come at a modest two times the computational complexity price

Keywords

computational complexity; convergence of numerical methods; deconvolution; eigenvalues and eigenfunctions; equalisers; feedback; filtering theory; multipath channels; computational complexity; deconvolution; eigenvalue spread; feedback; filter taps; forward blind equalization; forward channel; inverse blind equalization; multipath channel; speed of convergence; stochastic gradient methods; Blind equalizers; Convergence; Deconvolution; Eigenvalues and eigenfunctions; Feedback; Filters; Gradient methods; Multipath channels; Robustness; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-6405-3

Type

conf

DOI

10.1109/ACSSC.1994.471700

Filename

471700