Title :
A Recursive Prediction Error algorithm for digital predistortion of FIR Wiener systems
Author :
Abd-Elrady, Emad
Author_Institution :
Christian Doppler Lab. for Nonlinear Signal Process., Graz Univ. of Technol., Graz
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.
Keywords :
FIR filters; Wiener filters; adaptive filters; nonlinear distortion; nonlinear filters; prediction theory; recursive estimation; FIR Wiener filter; adaptive FIR Hammerstein system; digital predistortion problem; nonlinear distortion; nonlinear system; recursive estimation; recursive prediction error method algorithm; spectral regrowth reduction; Adaptive systems; Convergence; Finite impulse response filter; Nonlinear distortion; Nonlinear dynamical systems; Nonlinear systems; Power system modeling; Prediction algorithms; Predistortion; Signal processing algorithms;
Conference_Titel :
Communication Systems, Networks and Digital Signal Processing, 2008. CNSDSP 2008. 6th International Symposium on
Conference_Location :
Graz
Print_ISBN :
978-1-4244-1875-6
Electronic_ISBN :
978-1-4244-1876-3
DOI :
10.1109/CSNDSP.2008.4610732