Blind equalization and identification of nonlinear and IIRsystems-a least squares approach

Authors:
G.M. Raz;B.D. Van Veen
Affiliations:
Lincoln Lab., MIT, Lexington, MA;-
Venue:
IEEE Transactions on Signal Processing
Year:
2000

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Abstract

A deterministic approach to blind nonlinear channel equalization and identification is presented. This approach applies to nonlinear channels that can be approximately linearized by either finite memory, finite-order Volterra filters, or by a finite number of finite memory nonpolynomial nonlinearities. Both the nonlinear equalizers and the linearized channels are identified. This method also applies to blind identification of linear IIR channels. General conditions for existence and uniqueness are discussed, and numerical examples are given