NEWCOM WPR3 Meeting – Uppsala 21 09 05 RF & Microwave Electronics Group Power Amplifier for Wireless Links: System Level Models Daniel Bustos Marco Pirola Giovanni Ghione Simona Donati Dipartimento di Elettronica Politecnico di Torino Microwave & RF Electronics Group
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NEWCOM WPR3 Meeting – Uppsala 21 09 05 RF & Microwave Electronics Group Power Amplifier for Wireless Links: System Level Models Daniel Bustos Marco Pirola.
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NEWCOM WPR3 Meeting – Uppsala 21 09 05 RF & Microwave Electronics Group
Power Amplifier for Wireless Links:System Level Models
Daniel BustosMarco PirolaGiovanni GhioneSimona Donati
Dipartimento di ElettronicaPolitecnico di TorinoMicrowave & RF Electronics Group
Outline Behavioral nonlinear model motivations; The implemented models:
The cooperation between Polito and Chalmers Units; Simulatotion Tools; Model and extraction procedure description; Some simulation examples: (IM3, BER, …);
A case study: a 812.11a WLAN Power amplifier: Model the PHEMT ATF-54143 Transistor; Circuit level and system level simulations; Model behaviour comparison (VSS VS IT++);
Oriented to high level (system) simulations (eye diagram, BER) rather than circuit ones;
Identified through input/output system observation-> intrinsically behavioural (black-box);
System level modelling is oriented to the prediction of the system envelope behaviour;
System evaluation through RF simulation possible but: simulation circuit level far from the system level layer; system level model identification directly focused on system; system level simulation unbearably slow.
Conclusions Collaboration with Chalmers Univeristy through PhD student
exchange (maybe to be renewed); Methodology for extraction of system oriented models from
measured data or standard HB (multitone) circuit simulations; Model validation on virtual experimental data; Extractor implemented in Matlab; Model implemented within IT++; Future possible developments:
model validation on true experimental non linear data; further model refinements and improvements (e.g. three box model) testing and implementation of other models (e.g. neural, volterra/wiener