Blind deconvolution based on cumulant fitting and simulated annealing optimization

Author

Ilow, J. ; Hatzinakos, D. ; Venetsanopoulos, A.N.

Author_Institution

Dept. of Electr. Eng., Toronto Univ., Ont., Canada

fYear

1992

Firstpage

351

Abstract

Higher order cumulant analysis is applied to the blind identification/equalization of linear moving average (MA) channels with QAM data. To identify the MA parameters of channels, a higher order cumulant fitting approach is adopted. The set of channel parameters is obtained by simulated annealing optimization, which overcomes the problem of a multimodal cost function in channel identification. The coefficients of a linear equalizer are obtained using the channel inversion algorithm. Batch type as well as batch recursive algorithms are investigated. The feasibility and convergence behavior of the proposed algorithms are examined by means of computer simulations

Keywords

convergence of numerical methods; equalisers; parameter estimation; simulated annealing; statistical analysis; telecommunication channels; QAM; batch recursive algorithms; batch type algorithms; blind deconvolution; blind equalisation; blind identification; channel inversion algorithm; channel parameters; communication channels; convergence; cumulant fitting; higher order statistics; linear equalizer; linear moving average channels; simulated annealing optimization; Blind equalizers; Computer simulation; Convergence; Cost function; Deconvolution; Optical computing; Quadrature amplitude modulation; Simulated annealing; Statistics; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269176

Filename

269176