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Blind equalization and identification of nonlinear and IIR systems-a least squares approach

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2 Author(s)
Raz, Gil M. ; Lincoln Lab., MIT, Lexington, MA, USA ; Van Veen, B.D.

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

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Signal Processing, IEEE Transactions on  (Volume:48 ,  Issue: 1 )