Semiblind Bussgang Equalization for Sparse Channels

In this correspondence, we describe a semiblind Bussgang equalization scheme that incorporates the training sequence in a quite direct and flexible fashion. Among others, we discuss how the training sequence can be used to control the Bussgang nonlinearity thus enforcing the convergence of the itera...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2009-12, Vol.57 (12), p.4946-4952
Main Authors: Colonnese, S., Panci, G., Rinauro, S., Scarano, G.
Format: Article
Language:English
Subjects:
Applied sciences
Bandwidth
Blind equalizers
Blinds
Bussgang equalization
Channels
Convergence
Design engineering
Detection, estimation, filtering, equalization, prediction
Equalization
Equalizers
Exact sciences and technology
Fading
Impulse response
Information, signal and communications theory
Intersymbol interference
Iterative algorithms
Miscellaneous
Mobile communication
Performance analysis
semiblind channel equalization
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
sparse channels
Statistics
Telecommunications and information theory
Training
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Summary:In this correspondence, we describe a semiblind Bussgang equalization scheme that incorporates the training sequence in a quite direct and flexible fashion. Among others, we discuss how the training sequence can be used to control the Bussgang nonlinearity thus enforcing the convergence of the iterative equalizer design. Moreover, we focus on the case of channels whose impulse response is long but sparse, counteracted by equalizers designed on a suitable sparse support. Numerical performance analysis conducted on compact and sparse time-varying channels shows that sparse Bussgang semiblind equalizer using a short training sequence outperforms blind, trained, and decision directed equalizers in a variety of fading conditions.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2009.2026112