Blind linearization, and identification of nonlinear systems-a least squares, Pth order inverse approach

A deterministic approach to blind nonlinear channel equalization and identification is presented. This approach applies to nonlinear channels that can be approximately linearized by finite memory, finite order Volterra filters. Both the Volterra 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.