Robust behavioral modeling of dynamic nonlinearities using Gegenbauer polynomials with application to RF power amplifiers

In this article, we propose a new set of basis functions based on Gegenbauer polynomials suitable for robust behavioral modeling of nonlinear dynamic systems. These polynomials can be optimized for maximum model identification stability under different input signal distributions. The efficiency and robustness of the proposed polynomial models are demonstrated and compared to the ones of previously published models. The obtained results revealed an exceptional numerical stability regardless of the input signal statistics, making the proposed new models suitable for multimode and broadband nonlinear wireless transmitters. © 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:268-279, 2014.

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