Blind equalization of nonminimum phase channels: higher order cumulant based algorithmZheng, 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 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/78.193209 Abstract/SummaryHigher 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.
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