Title :
Blind linearization, and identification of nonlinear systems-a least squares, Pth order inverse approach
Author :
Raz, Gil M. ; Van Veen, Barry D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
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 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
Keywords :
IIR filters; equalisers; identification; inverse problems; least squares approximations; linearisation techniques; nonlinear filters; Pth order inverse approach; Volterra equalizers; blind linearization; blind nonlinear channel equalization; deterministic approach; existence conditions; finite memory finite order Volterra filters; identification; least squares; linear IIR channels; linearized channels; nonlinear systems; uniqueness conditions; Blind equalizers; Convolution; Drives; Finite impulse response filter; Gas insulated transmission lines; IIR filters; Least squares approximation; Least squares methods; Nonlinear filters; Nonlinear systems;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.679598
