NDLI: Linear multichannel blind equalizers of nonlinear FIR Volterra channels

Content Provider	IEEE Xplore Digital Library
Author	Giannakis, G.B. Serpedin, E.
Copyright Year	1991
Abstract	Truncated Volterra expansions model nonlinear systems encountered with satellite communications, magnetic recording channels, and physiological processes. A general approach for blind deconvolution of single-input multiple-output Volterra finite impulse response (FIR) systems is presented. It is shown that such nonlinear systems can be blindly equalized using only linear FIR filters. The approach requires that the Volterra kernels satisfy a certain coprimeness condition and that the input possesses a minimal persistence-of-excitation order. No other special conditions are imposed on the kernel transfer functions or on the input signal, which may be deterministic or random with unknown statistics. The proposed algorithms are corroborated with simulation examples.
Sponsorship	IEEE Signal Processing Society
Starting Page	67
Ending Page	81
Page Count	15
File Size	813624
File Format	PDF
ISSN	1053587X
Volume Number	45
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind equalizers Finite impulse response filter Nonlinear systems Kernel Nonlinear filters Satellite communication Magnetic recording Deconvolution Polynomials Downlink
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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