DocumentCode :
1902919
Title :
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
Link To Document :
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