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Digitally Enhanced Mixed Signal Systems / edited by Chadi Jabbour, Patricia Desgreys and Dominique Dallet

Published
Stevenage : Institution of Engineering & Technology, 2019.
Copyright Date
©2019
Physical Description
1 online resource (xii, 366 pages) : illustrations
Additional Creators
Jabbour, Chadi, Desgreys, Patricia, and Dallet, Dominique, 1964-
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Contents
Intro; Contents; Preface; 1. Digitally enhanced mixed signal systems-the big picture / Christian Vogel, Harald Enzinger, and Karl Freiberger; 1.1 Motivation; 1.2 Methodology; 1.2.1 A system-oriented perspective; 1.2.2 An extended view on data converters; 1.2.3 The design process; 1.3 Examples; 1.3.1 Enhancing power amplifiers; 1.3.2 Enhancing data converters; 1.3.3 Enhancing clock generation; 1.4 Conclusion; References; 2. Nonlinear modeling / Raphael Vansebrouck, Dang-Kièn Germain Pham, Chadi Jabbour, and Patricia Desgreys; 2.1 Introduction; 2.2 Nonlinear models; 2.2.1 Parametric models, 2.2.2 Nonparametric models; 2.3 Suited models for each RF bloc; 2.3.1 Extension to complex models; 2.3.2 Models for power amplifiers; 2.3.3 Models for low-noise amplifiers; 2.3.4 Models for baseband blocks; 2.4 Digital compensation of nonlinear distortions; 2.4.1 Direct learning architecture; 2.4.2 Indirect learning architecture; 2.5 Summary; References; 3. Digital predistortion / Geneviève Baudoin, Olivier Venard, and Dang-Kièn Germain Pham; 3.1 Why do we need predistortion?; 3.1.1 Waveform features; 3.1.2 System level considerations; 3.2 Principles of predistortion, 3.3 Analog vs digital predistortion; 3.4 Mathematical aspects; 3.4.1 Baseband formulation; 3.4.2 pth-Order inverse of linear system; 3.5 Models for DPD structures; 3.5.1 Parametric models; 3.5.2 Nonparametric models; 3.6 Identification; 3.6.1 Indirect learning architecture; 3.6.2 Direct learning architecture; 3.6.3 DPD with iterative learning control (ILC); 3.7 Wideband and subband processing; 3.8 Multidimensional predistortion; 3.8.1 Linearization of noncontiguous carrier aggregation; 3.8.2 Multiple input multiple output; 3.9 Model sizing; 3.9.1 Model sizing by hill climbing heuristic, 3.9.2 Model sizing by integer genetic algorithm; 3.9.3 Model sizing using orthogonal matching pursuit (OMP) algorithm; 3.10 Joint mitigation of various impairments; 3.10.1 Cooperation with crest factor reduction (CFR); 3.10.2 Processing of imperfections; 3.11 Overview of companion signal processing; 3.11.1 Synchronization; 3.11.2 Sampling frequency; 3.11.3 Monitoring; 3.12 Implementation; 3.13 Conclusion; References, and 4. Digital post-distortion of radio receivers and analog-to-digital converters / Bryce Minger, Raphaël Vansebrouck, Chadi Jabbour, Loïc Fuché, Guillaume Ferré, Dominique Dallet, Patricia Desgreys, and Olivier Jamin; 4.1 Motivations for post-distortion of radio receivers and ADCs; 4.1.1 Ideal vs. practical radio receiver; 4.1.2 Dynamic range issues of modern radio receivers; 4.1.3 Principle of post-distortion; 4.1.4 Figures of merit; 4.2 Review of distortions issues met in radio receivers; 4.2.1 Distortion issue of IF-digitising superheterodyne receivers
Summary
The book comprises of 9 chapters and is devoted to digital enhancement techniques addressing key challenges relevant to analog, RF and mixed-signal components. This topic has emerged in the near past in the context of steadily shrinking CMOS technology, user increasing demand for higher flexibility and higher data traffic in communications networks.
Subject(s)
Genre(s)
ISBN
1785616102 (PDF ebook)
9781785616105 (electronic bk.)
1785616099
9781785616099
Bibliography Note
Includes bibliographical references and index.
View MARC record | catkey: 39317733