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 Improvements and analysis of nonlinear parallel behavioral models
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5071

title: Improvements and analysis of nonlinear parallel behavioral models
authors: Silveira, D.D.
Gilabert, P.L.
Lavrador, P.M.
Pedro, J.C.
Gadringer, M.
Montoro, G.
Bertran, E.
Magerl, G.
keywords: Behavioral
Microwave power amplifiers
Nonlinear systems
Behavioral model
Current limitation
Filtering technique
Linear estimation
Measured signals
Microwave power amplifiers
Nonlinear behavior
Parallel configuration
Parallel structures
Simulated data
Static and dynamic
Microwave amplifiers
Microwave generation
Microwave power transmission
Nonlinear analysis
Nonlinear systems
Power amplifiers
Mathematical models
issue date: Sep-2009
publisher: Wiley Blackwell
abstract: This article performs an analysis of current limitations regarding the extraction of parallel behavioral models to reproduce the power amplifier (PA) nonlinear behavior and its dynamics. To overcome these limitations, a general preprocessing block that clearly improves the identification capabilities shown by classical parallel structures is proposed. It follows the principle of separating both static and dynamic nonlinear behavior of the PA to obtain a better identification performance. A comparison with common parallel configurations using linear estimation is performed, to highlight the benefits of using the preprocessing structure. Furthermore, a new nonlinear parallel structure using sub-band filtering techniques is also proposed. For the models extraction and comparison, four types of noise-free simulated data presenting different levels of nonlinearities and memory, as well as a measured signal obtained from a laboratory amplifier have been considered.
URI: http://hdl.handle.net/10773/5071
ISSN: 1096-4290
publisher version/DOI: http://onlinelibrary.wiley.com/doi/10.1002/mmce.20385/pdf
source: International Journal of RF and Microwave Computer-Aided Engineering
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