NDLI: Modeling and decision feedback equalization of uncertain channels

Content Provider	IEEE Xplore Digital Library
Author	Donate, P. Muravchik, C. Cousseau, J.
Copyright Year	1999
Description	Author affiliation: Dept. de Ingenieria Electr., Univ. Nacional del Sur, Bahia Blanca, Argentina (Donate, P.)
Abstract	In this paper a methodology for uncertain linear communication channel modeling is evaluated. The resulting extended model is then used for the design of decision feedback equalizers (DFE). Considering an initial nonparametric description of the channel by experimental data, a model for nominal channel and uncertainty is developed by means of orthonormal function series expansion. The procedure shows good model to data fitting. Using this model a partially adaptive decision feedback equalizer is then designed. The fixed front end or precursor filter is designed as an optimal robust linear deconvolution filter. The postcursor filter is designed with a fixed denominator to optimally cancel residual past symbol interference and the numerator is treated as an adaptive FIR filter with a small number of taps. Simulation results show extended equalizer flexibility at low additional computational cost for the proposed DFE design.
Starting Page	536
Ending Page	539
File Size	379167
Page Count	4
File Format	PDF
ISBN	0780354710
DOI	10.1109/ISCAS.1999.780060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-05-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision feedback equalizers Finite impulse response filter Nonlinear filters Communication channels Uncertainty Robustness Deconvolution Adaptive filters Interference cancellation Computational modeling
Content Type	Text
Resource Type	Article

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