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Blind equalization of nonminimum phase channels: higher order cumulant based algorithm

Zheng, F.-C., McLaughlin, S. and Mulgrew, B. (1993) Blind equalization of nonminimum phase channels: higher order cumulant based algorithm. IEEE Transactions on Signal Processing, 41 (2). pp. 681-691. ISSN 1053-587X

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To link to this article DOI: 10.1109/78.193209

Abstract/Summary

Higher order cumulant analysis is applied to the blind equalization of linear time-invariant (LTI) nonminimum-phase channels. The channel model is moving-average based. To identify the moving average parameters of channels, a higher-order cumulant fitting approach is adopted in which a novel relay algorithm is proposed to obtain the global solution. In addition, the technique incorporates model order determination. The transmitted data are considered as independently identically distributed random variables over some discrete finite set (e.g., set {±1, ±3}). A transformation scheme is suggested so that third-order cumulant analysis can be applied to this type of data. Simulation examples verify the feasibility and potential of the algorithm. Performance is compared with that of the noncumulant-based Sato scheme in terms of the steady state MSE and convergence rate.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:18710
Uncontrolled Keywords:LTI channels, blind equalization, convergence rate, discrete finite set, global solution, higher-order cumulant fitting, higher-order statistics, independently identically distributed random variables, linear time-invariant channels, model order determination, moving average parameters, nonminimum phase channels, relay algorithm, steady state MSE, third-order cumulant analysis, transformation scheme
Publisher:IEEE

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