Reduced complexity Volterra models for nonlinear system identification
EURASIP Journal on Applied Signal Processing - Nonlinear signal and image processing - part I
Brief Optimal expansions of discrete-time Volterra models using Laguerre functions
Automatica (Journal of IFAC)
RF power amplifier modeling for three-port applications using polynomials with IIR bases functions
RWS'10 Proceedings of the 2010 IEEE conference on Radio and wireless symposium
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This paper presents a novel technique of modeling a radio frequency (RF) power amplifier (PAs) using polynomials with infinite impulse response (IIR) bases functions. Non-linear PA behavior, including both short-term and long-term memory effects, is described with very few parameters compared to existing Volterra series models. Moreover, the use of polynomials with IIR bases is far less computationally intensive thereby providing a significant advantage over competing methods. Power amplifiers designed for second generation (EDGE) wireless system are investigated for model validation. Excellent results are obtained, where the error between model prediction and measurements is better than 50 dBc, with the amplifier being driven with an EDGE signal at several power levels.