Deembedding static nonlinearities and accurately identifying and modeling memory effects in wide-band RF transmitters

By Taijun Liu, Slim Boumaiza, Fadhel M. Ghannouchi. IEEE transactions on microwave theory and techniques, 2005

136 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fb50c9ebb5ba11b8bdb2b94c366ef4dc37ff7f88

How researchers see this paper

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In Electrical and Electronic Engineering

1. Oualid Hammi
2. Fadhel M. Ghannouchi
3. Anding Zhu
4. Eric Mokole
5. Shannon D. Blunt

Citations in the corpus

• A New Digital Predictive Predistorter for Behavioral Power Amplifier Linearization (2007, methodology): “The most usual models employed for digital PD are: memory polynomials or nonlinear moving average (MA) models [2], [3], Hammerstein [4], [5], and Wiener [6], [7] models with their cascade and parallel variants and using finite or infinite impulse response (FIR or IIR) filters to model the”
• Behavioral modeling and predistortion (2009, methodology): “Augmented Wiener Model The augmented Wiener model is the dual of the augmented Hammerstein model in which the look-up table model block is applied downstream of the mildly nonlinear dynamic function [26].”