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Black Box Modeling of RF Amplifiers: Modeling RF Power Amplifiers using Matlab for linearization purposes - Softcover
Black-box or behavioral models (BM) are obtained from input/output observations of a system, without knowledge of its inner structure. They can be optimized for a specific system, and so it is possible to represent the physical component behavior by this model (e.g., RF power amplifiers). The principal applications of PA BMs are linearization and circuit simulation tools. PAs are nonlinear devices with memory effects, therefore, it is a challenging task to extract their equivalent BM. The work starts with a brief overview of BMs excitation signals and partitioning of data used in the modeling process. Figures of merit, tools to measure BMs quality, are analyzed. An investigation of linear estimation techniques and parametrization of linear systems is also performed, showing advances in the finite impulse response filter estimation. Following, techniques for nonlinear systems estimation are described, focused on PAs. Static nonlinear models and dynamic ones are outlined, together with their linear estimation methods. In the second part of this work, selected applications of behavioral models are surveyed.
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About the Author:
Daniel D. Silveira received the B.Sc. in Electrical Eng. (2001) and Master in Telecommunications degree (2003) from Inatel, Brazil, and in 2007 he received his Ph.D. from Vienna University of Technology, Austria. He worked for 3 years in industries in Brazil and since 2011 he is with Federal University of Juiz de Fora as an Assistant Professor.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2012
- ISBN 10 3659284955
- ISBN 13 9783659284953
- BindingPaperback
- Number of pages116
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Black-box or behavioral models (BM) are obtained from input/output observations of a system, without knowledge of its inner structure. They can be optimized for a specific system, and so it is possible to represent the physical component behavior by this model (e.g., RF power amplifiers). The principal applications of PA BMs are linearization and circuit simulation tools. PAs are nonlinear devices with memory effects, therefore, it is a challenging task to extract their equivalent BM. The work starts with a brief overview of BMs excitation signals and partitioning of data used in the modeling process. Figures of merit, tools to measure BMs quality, are analyzed. An investigation of linear estimation techniques and parametrization of linear systems is also performed, showing advances in the finite impulse response filter estimation. Following, techniques for nonlinear systems estimation are described, focused on PAs. Static nonlinear models and dynamic ones are outlined, together with their linear estimation methods. In the second part of this work, selected applications of behavioral models are surveyed. 116 pp. Englisch. Seller Inventory # 9783659284953
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Black Box Modeling of RF Amplifiers Modeling RF Power Amplifiers using Matlab for linearization purposes
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Black Box Modeling of RF Amplifiers : Modeling RF Power Amplifiers using Matlab for linearization purposes
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Black-box or behavioral models (BM) are obtained from input/output observations of a system, without knowledge of its inner structure. They can be optimized for a specific system, and so it is possible to represent the physical component behavior by this model (e.g., RF power amplifiers). The principal applications of PA BMs are linearization and circuit simulation tools. PAs are nonlinear devices with memory effects, therefore, it is a challenging task to extract their equivalent BM. The work starts with a brief overview of BMs excitation signals and partitioning of data used in the modeling process. Figures of merit, tools to measure BMs quality, are analyzed. An investigation of linear estimation techniques and parametrization of linear systems is also performed, showing advances in the finite impulse response filter estimation. Following, techniques for nonlinear systems estimation are described, focused on PAs. Static nonlinear models and dynamic ones are outlined, together with their linear estimation methods. In the second part of this work, selected applications of behavioral models are surveyed. Seller Inventory # 9783659284953
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Silveira Daniel DisciniDaniel D. Silveira received the B.Sc. in Electrical Eng. (2001) and Master in Telecommunications degree (2003) from Inatel, Brazil, and in 2007 he received his Ph.D. from Vienna University of Technology, Austri. Seller Inventory # 5145675
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