Blind equalization of nonlinear channels from second-order statistics

Roberto LOPEZ-VALCARCE; Soura DASGUPTA

doi:10.1109/78.969516

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Blind equalization of nonlinear channels from second-order statistics

Journal article

Peer reviewed

Blind equalization of nonlinear channels from second-order statistics

Roberto LOPEZ-VALCARCE and Soura DASGUPTA

IEEE transactions on signal processing, Vol.49(12), pp.3084-3097

2001

DOI: 10.1109/78.969516

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Abstract

This paper addresses the blind equalization problem for single-input multiple-output nonlinear channels, based on the second-order statistics (SOS) of the received signal. We consider the class of "linear in the parameters" channels, which can be seen as multiple-input systems in which the additional inputs are nonlinear functions of the signal of interest. These models include (but are not limited to) polynomial approximations of nonlinear systems. Although any SOS-based method can only identify the channel to within a mixing matrix (at best), sufficient conditions are given to ensure that the ambiguity is at a level that still allows for the computation of linear FIR equalizers from the received signal SOS, should such equalizers exist. These conditions involve only statistical characteristics of the input signal and the channel nonlinearities and can therefore be checked a priori. Based on these conditions, blind algorithms are developed for the computation of the linear equalizers. Simulation results show that these algorithms compare favorably with previous deterministic methods.

Applied Sciences

Signal and communications theory

Telecommunications and information theory

Exact sciences and technology

Signal, noise

Information, signal and communications theory

Detection, estimation, filtering, equalization, prediction

Details

Title: Subtitle: Blind equalization of nonlinear channels from second-order statistics
Creators: Roberto LOPEZ-VALCARCE - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242-1595, United States
Soura DASGUPTA - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242-1595, United States
Resource Type: Journal article
Publication Details: IEEE transactions on signal processing, Vol.49(12), pp.3084-3097
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/78.969516
ISSN: 1053-587X
eISSN: 1941-0476
Language: English
Date published: 2001
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984083259502771

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