DocumentCode
2164302
Title
High Power Amplifier Dynamic Modeling by Modified Volterra Series and Neural Network Tool
Author
Dominique, C. ; Mancuso, Y. ; Dueme, P. ; Gautier, J-L.
Author_Institution
THALES AIRBORNE SYSTEMS - La Clef de St Pierre - 1 bd Jean Moulin - 78852 Elancourt Cedex - France. Tel:+3301.34.59.68.00 - Fax:+3301.34.59.55.99 - cyril.dominique@fr.thalesgroup.com
fYear
2001
fDate
24-26 Sept. 2001
Firstpage
1
Lastpage
4
Abstract
Large signal system level simulation needs to build behavioural models. The black box approach is tailored for modulated excitation signals, especially in a non-linear system with memory, like Solid State Power Amplifier (SSPA), where the response depends both on power and frequency parameters. In this study, memory effects are taken into account by non-linear analytic functions based on neural network fit. Impacts on CW and intermodulation characteristics of non-linear memory are presented.
Keywords
Artificial neural networks; Bandwidth; Costs; Frequency; High power amplifiers; Kernel; Microwave devices; Neural networks; Power system modeling; Scattering parameters;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Conference, 2001. 31st European
Conference_Location
London, England
Type
conf
DOI
10.1109/EUMA.2001.339068
Filename
4140136
Link To Document