Tutorial 1

Informations

• Publié par: Mothug
• Nombre de lectures: 54
• Langue: English

Extrait

Tutorial 1

Title

Behaviour Modelling and Digital Predistortion of Wideband Wireless

Transmitters

Instructor

Name        :    Fadhel Ghannouchi , Professor and Chair

Address    :    The University of Calgary

Email         :    [e-mail]  

Phone        :    (1 403) 220 5807

Fax             :    (1 403) 282 6855

Short Biography

Fadhel Ghannouchi is currently a professor, iCORE/Canada Research Chairs and

Director of the Intelligent RF Radio Laboratory (www.iradio.ucalgary.ca) in the

Department of Electrical and Computer Engineering at the University of Calgary,

Alberta. He was with Ecole Polytechnique de Montreal until 2005, where he taught

microwave theory and techniques and RF communications systems since 1984.

He has held several invited positions at several academic and research

institutions in Europe, North America and Japan.  He has provided consulting

services to a number of microwave and wireless communications companies. His

research interests are in the areas of RF and wireless communications, nonlinear

modeling of microwave devices and communications systems, design of power-

and spectrum-efficient microwave amplification systems and design of SDR

systems for wireless and satellite communications applications.  His research has

led to over 400 refereed publications and 10 US patents (3 pending).

 Fadhel Ghannouchi  gave tutorials short courses and workshops related to

modelling, impairment compensation and design of RF power amplifiers and

transmitters for broadband wireless and satellite applications in several

universities and IEEE sponsored  conferences.

Abstract

This tutorial will present the basic concepts in behaviour modelling of wideband

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Tutorial 1

wireless transmitters as well as the state-of-the-art modelling technologies for 3G

and beyond wireless communications systems. The contents of the tutorial will

included the description, explanation, identification and emulation of the dynamic

properties of the wideband wireless transmitters, which are caused by the memory

effects existing mainly in the power amplifiers. The critical issues for accurately

identifying the memory effects in power and spectrum domains will be discussed.

A variety of dynamic behavioural models, such as Volterra series models, memory

polynomial models, neural network models, Wiener models, augmented Wiener

models, Hammerstein models, Augmented Hammerstein models, generalized

Wiener model, Generalized Hammerstein model,  etc, will be illustrated and

compared to reveal their accuracy and robust. Examples for applying practical

modulated wideband signals to these models to mimic the dynamic nonlinearities

of the wideband transmitters will be presented and discussed.

Intended Audience

Engineers and graduate students designing wireless or satellite communications

transceivers or involved in research and development activities related to power

amplifiers and transceivers design will certainly benefit from this tutorial.

Motivation

The coexistence of linear and nonlinear distortion sources in the wideband

wireless transmitters of 3G and beyond communication systems compromises

their performances in terms of error vector magnitude (EVM) and adjacent

channel power ratio (ACPR). The minimization of the effects of such distortion

sources relies primarily on accurate modelling of the transmitters.

Objective

The participants will learn:

1. from where the nonlinear distortion is originating;

2. what is memory effects and their effects on the performance of the

predistortion linearizers;

3. how to accurately identify the memory effects;

4. how to validate the different models in modelling the memory effects;

Outline

Basic Concepts ( 1 H)

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Nonlinearity of power amplifiers and transmitters

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Nonlinearity quantification and metrics (C/IMD3, IP3, ACPR, EVM etc)

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Class of operations and performance evaluation of PAs (class A to class C).

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Trade-off between power efficiency and linearity in designing transceivers

Memory Effects (1 H)

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Memory effect definition and its origination

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Memory effect’s affection on the performance of the predistortion linearizers

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Accurately identification of memory effects

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Novel validation approach for evaluating the dynamic nonlinear models 

Dynamic Behavior Modeling (1 H)

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Volterra models

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Wiener models

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Traditional Wiener model

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Generalized Wiener model

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Augmented Wiener model

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Hammerstein models

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Traditional Hammerstein model

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Generalized Hammerstein model

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Augmented Hammerstein model

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Neural network models

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