Dynamic Deviation Reduction-Based Volterra Behavioral Modeling of RF Power Amplifiers

By Anding Zhu, José Carlos Pedro, Thomas J. Brazil. IEEE transactions on microwave theory and techniques, 2006

459 citations recorded by the source corpus.

Subfields: Computational Mechanics, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c626f2fd1a52a83201ffd1dcd67466c5781a3d30

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Fadhel M. Ghannouchi
2. Oualid Hammi
3. Anding Zhu

In Control and Systems Engineering

1. Fadhel M. Ghannouchi
2. Oualid Hammi
3. Anding Zhu

In Electrical and Electronic Engineering

1. Anding Zhu
2. Oualid Hammi
3. Fadhel M. Ghannouchi
4. Lei Guan
5. Peter M. Asbeck
6. Thomas J. Brazil
7. Eric Mokole
8. Shannon D. Blunt

Citations in the corpus

• Behavioral modeling and predistortion (2009, methodology): “These include the pruning techniques and the dynamic reduction deviation technique [1]–[4], [29], [30].”
• Digital Predistortion for Envelope-Tracking Power Amplifiers Using Decomposed Piecewise Volterra Series (2008, methodology): “…and memory effects in RF PAs, an efficient DPD was proposed in [4], where the DPD model employed is derived from the dynamic deviation reduction-based Volterra series proposed in [5] (8) where and are the input and output, respectively.1 is the order of nonlinearity and represents memory length.”
• Band-Limited Volterra Series-Based Digital Predistortion for Wideband RF Power Amplifiers (2012, background): “…Principal Investigator Award scheme, and in part by Huawei Technologies Co. Ltd. C. Yu, L. Guan and A. Zhu are with the School of Electrical, Electronic and Communications Engineering, University College Dublin, Dublin 4, Ireland (e-mail: chao.yu@ucdconnect.ie; lei.guan@ucd.ie; anding.zhu@ucd.ie).”