Behavioral modeling of nonlinear RF power amplifiers using ensemble SDBCC network-Reference-Cited by-同舟云学术

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Behavioral modeling of nonlinear RF power amplifiers using ensemble SDBCC network

Published:2015-04 Issue: Volume:154 Page:24-32
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Xie Liping,Wei Haikun,Zhang Kanjian

Funder

National Natural Science Foundation of China

Major Program of National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference28 articles.

1. Power amplifiers and transmitters for RF and microwave;Raab;IEEE Trans. Microw. Theory Tech.,2002

2. U.K. Mishra, L. Shen, T.E. Kazior, et al., GaN-based RF power devices and amplifiers, Proc. IEEE 96 (2) (2008) 287–305.

3. A robust augmented complexity-reduced generalized memory polynomial for wideband RF power amplifiers;Liu;IEEE Trans. Ind. Electron.,2014

4. Robust behavioral modeling of dynamic nonlinearities using Gegenbauer polynomials with application to RF power amplifiers;Harguem;Int. J. RF Microw. Comput.-Aided Eng.,2013

5. Linearization of CMOS cascode power amplifiers through adaptive bias control;Jin;IEEE Trans. Microw. Theory Tech.,2013

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