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

A deterministic approach to blind nonlinear channel equalization and identi fication is presented. This approach applies to nonlinear channels that can he approximately linearized by either finite memory finite-order Volterra filters, or by a finite number of finite memory nonpolynomial nonlinearitie s. 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 numerica l examples are given.