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Application of embedding dimension estimation to Volterra series-based behavioral modeling and predistortion of wideband RF power amplifier

Published online by Cambridge University Press:  07 February 2013

Bilel Fehri  and
Slim Boumaiza
Bilel Fehri
Affiliation:
EMRG Research Group, Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave W., Waterloo, ON, CanadaN2L-3G1
Slim Boumaiza*
Affiliation:
EMRG Research Group, Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave W., Waterloo, ON, CanadaN2L-3G1
*
Corresponding author: Slim Boumaiza Email: sboumaiz@ecemail.uwaterloo.ca
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Abstract

This paper expounds the systematic modeling of the behavior of radio frequency (RF) power amplifiers (PAs) exhibiting nonlinear, dynamic behavior. The approach begins with an analysis of the PA output signal to deduce the minimum embedding parameters required to accurately model its response, particularly the nonlinearity order and memory effects depth. The knowledge of the RF PA is then exploited in limiting the number of kernels consequently addressing the complexity of the Volterra series which has been the key hindrance to its wider practical adoption. In the proposed Volterra series model, performance is assessed and compared to memory polynomial model and dynamic deviation reduction Volterra models when used to linearize different high-power amplifiers driven with wideband signals of bandwidth up to 40 MHz. Significant linearization performance is achieved using a reduced number of kernels.

Keywords

Power amplifiers and linearizersModelingSimulation and characterizations of devices and circuits
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 5 , Special Issue 2: Special Issue on Power Amplifier Linearization , April 2013 , pp. 115 - 122
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2013

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