Mon, Jan 28, 2013 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. John Wood , Maxim Integrated Products
Talk Title: Behavioural Modeling & Linearization of RF Power Amplifiers
Abstract: In cellular wireless communications systems, the RF power amplifier (PA) in the transmitter must be as efficient as possible, to minimize energy costs, to prolong battery life, and for ‘green’ considerations. Modern spectrally-efficient, digitally-modulated signals such as LTE and UMTS present a challenge for efficient RF PA design, and the power amplifier architectures that are adopted to achieve this goal are generally very nonlinear, and so some form of linearization technique is necessary.
The increasing use of linearization techniques, and especially the emergence of high speed digital processing as an enabling technology to implement digital pre-distortion (DPD) of the PA input signal, represent an important paradigm shift in PA design. The PA component can now be designed with more emphasis on power and efficiency, without the traditional constraints of meeting stringent linearity specs simultaneously. Understanding the utility of a linearizer to obtain optimum efficiency has thus become a new subject area in modern RF PA design.
The system-level design of linearized PA transmitters requires accurate models to achieve the optimal performance. Behavioural modeling is used to describe the PA and linearizer at this level of the design. In this tutorial, we shall present some approaches to the behavioral modeling of nonlinear dynamical systems that can be used to model RF PAs; particular emphasis will be given to the treatment of memory effects. Some common mathematical and systematic approaches to model generation will be presented, to obtain accurate but compact nonlinear dynamical models. A brief description of some characterization techniques will be included. These same nonlinear modeling techniques can be applied to the design of successful pre-distortion algorithms. We shall illustrate the overall structure of a linearized transmitter using several DPD architectures, and we shall present various approaches to adaptive pre-distortion, considering such features as convergence, signal bandwidth, accuracy, and cost.
Biography: Dr. John Wood (M’87, SM’03, F’07) received B. Sc. and Ph. D. degrees in Electrical and Electronic Engineering from the University of Leeds, in 1976 and 1980, respectively. He is currently Senior Principal Member of Technical Staff with Maxim Integrated Products, working on the modeling and design of envelope-tracking solutions for mobile phones. He was a Distinguished Member of the Technical Staff in the RF Division of Freescale Semiconductor, where he worked from 2005--2011. His areas of expertise include the development of nonlinear compact device models and behavioral models for RF power transistors and ICs, the understanding of the impact, characterization, & control using digital pre-distortion (DPD) of nonlinearities and memory effects in high-efficiency PAs. From 1997--2005 he worked in the Microwave Technology Center of Agilent Technologies, developing large-signal and bias-dependent linear FET models for mm-wave applications, and nonlinear behavioral models using LSNA measurements and nonlinear system identification techniques. He is author or co-author of over 120 papers and articles. He is a Fellow of the IEEE, and a member of the Microwave Theory and Techniques, and Electron Devices Societies, and is a member of ARFTG Executive Committee. He is a Distinguished Microwave Lecturer for MTT Society. He is currently Editor-in Chief of the IEEE ‘Microwave’ magazine.
Host: Prof. Hossein Hashemi, Prof. Mike Chen
Audiences: Everyone Is Invited
Posted By: Hossein Hashemi