NDLI: A Recursive Prediction Error algorithm for digital predistortion of FIR Wiener systems

Content Provider	IEEE Xplore Digital Library
Author	Abd-Elrady, E.
Copyright Year	2008
Description	Author affiliation: Christian Doppler Lab. for Nonlinear Signal Process., Graz Univ. of Technol., Graz (Abd-Elrady, E.)
Abstract	This paper considers the problem of predistortion of nonlinear systems which are described using FIR Wiener models by connecting two adaptive FIR Hammerstein systems. The first adaptive Hammerstein system is a training filter connected in parallel with the nonlinear system and its coefficients are estimated recursively using the recursive prediction error method (RPEM) algorithm. The second adaptive Hammerstein system is a predistorter connected in tandem with the nonlinear system and its coefficients are a copy from the training Hammerstein system. Simulation results show that the suggested RPEM algorithm effectively reduces spectral regrowth due to nonlinear distortion.
Starting Page	698
Ending Page	701
File Size	191507
Page Count	4
File Format	PDF
ISBN	9781424418756
DOI	10.1109/CSNDSP.2008.4610732
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Adaptive systems Signal processing algorithms Finite impulse response filter Prediction algorithms Predistortion Nonlinear systems
Content Type	Text
Resource Type	Article

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A Recursive Prediction Error algorithm for digital predistortion of FIR Wiener systems