Nonlinear Distortion in Wireless Systems

Modeling and Simulation with MATLAB
1. Auflage 2011
ISBN: 978-0-470-66104-8
Verlag: Wiley

Buch, Englisch, 386 Seiten, Format (B × H): 179 mm x 258 mm, Gewicht: 728 g

This book covers the principles of modeling and simulation of nonlinear distortion in wireless communication systems with MATLAB simulations and techniques
In this book, the author describes the principles of modeling and simulation of nonlinear distortion in single and multichannel wireless communication systems using both deterministic and stochastic signals. Models and simulation methods of nonlinear amplifiers explain in detail how to analyze and evaluate the performance of data communication links under nonlinear amplification. The book addresses the analysis of nonlinear systems with stochastic inputs and establishes the performance metrics of communication systems with regard to nonlinearity. In addition, the author also discusses the problem of how to embed models of distortion in system-level simulators such as MATLAB and MATLAB Simulink and provides practical techniques that professionals can use on their own projects. Finally, the book explores simulation and programming issues and provides a comprehensive reference of simulation tools for nonlinearity in wireless communication systems.

Key Features:

- Covers the theory, models and simulation tools needed for understanding nonlinearity and nonlinear distortion in wireless systems
- Presents simulation and modeling techniques for nonlinear distortion in wireless channels using MATLAB
- Uses random process theory to develop simulation tools for predicting nonlinear system performance with real-world wireless communication signals
- Focuses on simulation examples of real-world communication systems under nonlinearity
- Includes an accompanying website containing MATLAB code

This book will be an invaluable reference for researchers, RF engineers, and communication system engineers working in the field. Graduate students and professors undertaking related courses will also find the book of interest.

Autoren/Hrsg.

Gharaibeh, Khaled M

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation

Inhaltsverzeichnis

Preface xv
List of Abbreviations xvii

List of Figures xix

List of Tables xxvii

Acknowledgements xxix

1 Introduction 1

1.1 Nonlinearity in Wireless Communication Systems 1

1.1.1 Power Amplifiers 2

1.1.2 Low-Noise Amplifiers (LNAs) 4

1.1.3 Mixers 6

1.2 Nonlinear Distortion in Wireless Systems 6

1.2.1 Adjacent-Channel Interference 8

1.2.2 Modulation Quality and Degradation of System Performance 9

1.2.3 Receiver Desensitization and Cross-Modulation 11

1.3 Modeling and Simulation of Nonlinear Systems 12

1.3.1 Modeling and Simulation in Engineering 12

1.3.2 Modeling and Simulation for Communication System Design 14

1.3.3 Behavioral Modeling of Nonlinear Systems 15

1.3.4 Simulation of Nonlinear Circuits 16

1.4 Organization of the Book 19

1.5 Summary 20

2 Wireless Communication Systems, Standards and Signal Models 21

2.1 Wireless System Architecture 21

2.1.1 RF Transmitter Architectures 23

2.1.2 Receiver Architecture 26

2.2 Digital Signal Processing in Wireless Systems 30

2.2.1 Digital Modulation 31

2.2.2 Pulse Shaping 37

2.2.3 Orthogonal Frequency Division Multiplexing (OFDM) 39

2.2.4 Spread Spectrum Modulation 41

2.3 Mobile System Standards 45

2.3.1 Second-Generation Mobile Systems 46

2.3.2 Third-Generation Mobile Systems 48

2.3.3 Fourth-Generation Mobile Systems 51

2.3.4 Summary 51

2.4 Wireless Network Standards 52

2.4.1 First-Generation Wireless LANs 52

2.4.2 Second-Generation Wireless LANs 52

2.4.3 Third-Generation Wireless Networks (WMANs) 53

2.5 Nonlinear Distortion in Different Wireless Standards 55

2.6 Summary 56

3 Modeling of Nonlinear Systems 59

3.1 Analytical Nonlinear Models 60

3.1.1 General Volterra Series Model 60

3.1.2 Wiener Model 62

3.1.3 Single-Frequency Volterra Models 63

3.1.4 The Parallel Cascade Model 65

3.1.5 Wiener–Hammerstein Models 66

3.1.6 Multi-Input Single-Output (MISO) Volterra Model 67

3.1.7 The Polyspectral Model 67

3.1.8 Generalized Power Series 68

3.1.9 Memory Polynomials 69

3.1.10 Memoryless Models 70

3.1.11 Power-Series Model 70

3.1.12 The Limiter Family of Models 72

3.2 Empirical Nonlinear Models 74

3.2.1 The Three-Box Model 74

3.2.2 The Abuelma’ati Model 75

3.2.3 Saleh Model 76

3.2.4 Rapp Model 76

3.3 Parameter Extraction of Nonlinear Models from Measured Data 76

3.3.1 Polynomial Models 77

3.3.2 Three-Box Model 79

3.3.3 Volterra Series 80

3.4 Summary 80

4 Nonlinear Transformation of Deterministic Signals 83

4.1 Complex Baseband Analysis and Simulations 84

4.1.1 Complex Envelope of Modulated Signals 85

4.1.2 Baseband Equivalent of Linear System Impulse Response 89

4.2 Complex Baseband Analysis of Memoryless Nonlinear Systems 90

4.2.1 Power-Series Model 92

4.2.2 Limiter Model 92

4.3 Complex Baseband Analysis of Nonlinear Systems with Memory 94

4.3.1 Volterra Series 94

4.3.2 Single-Frequency Volterra Models 95

4.3.3 Wiener-Hammerstein Model 96

4.4 Complex Envelope Analysis with Multiple Bandpass Signals 97

4.4.1 Volterra Series 97

4.4.2 Single-Frequency Volterra Models 99

4.4.3 Wiener-Hammerstein Model 100

4.4.4 Multi-Input Single-Output Nonlinear Model 103

4.4.5 Memoryless Nonlinearity-Power-Series Model 104

4.5 Examples–Response of Power-Series Model to Multiple Signals 106

4.5.1 Single Tone 107

4.5.2 Two-Tone Signal 107

4.5.3 Single-Bandpass Signal 108

4.5.4 Two-Bandpass Signals 108

4.5.5 Single Tone and a Bandpass Signal 109

4.5.6 Multisines 110

4.5.7 Multisine Analysis Using the Generalized Power-Series Model 111

4.6 Summary 111

5 Nonlinear Transformation of Random Signals 113

5.1 Preliminaries 114

5.2 Linear Systems with Stochastic Inputs 114

5.2.1 White Noise 115

5.2.2 Gaussian Processes 116

5.3 Response of a Nonlinear System to a Random Input Signal 116

5.3.1 Power-Series Model 116

5.3.2 Wiener–Hammerstein Models 118

5.4 Response of Nonlinear Systems to Gaussian Inputs 119

5.4.1 Limiter Model 120

5.4.2 Memoryless Power-Series Model 123

5.5 Response of Nonlinear Systems to Multiple Random Signals 123

5.5.1 Power-Series Model 124

5.5.2 Wiener–Hammerstein Model 126

5.6 Response of Nonlinear Systems to a Random Signal and a Sinusoid 128

5.7 Summary 129

6 Nonlinear Distortion 131

6.1 Identification of Nonlinear Distortion in Digital Wireless Systems 132

6.2 Orthogonalization of the Behavioral Model 134

6.2.1 Orthogonalization of the Volterra Series Model 136

6.2.2 Orthogonalization of Wiener Model 137

6.2.3 Orthogonalization of the Power-Series Model 139

6.3 Autocorrelation Function and Spectral Analysis of the Orthogonalized Model 140

6.3.1 Output Autocorrelation Function 142

6.3.2 Power Spectral Density 142

6.4 Relationship Between System Performance and Uncorrelated Distortion 144

6.5 Examples 146

6.5.1 Narrowband Gaussian Noise 146

6.5.2 Multisines with Deterministic Phases 148

Über Autor(innen)

Khaled M. Gharaibeh, Yarmouk University, Jordan
Khaled M. Gharaibeh received his B.S. and M.S. in Electrical Engineering in 1995 and 1998, respectively, both from Jordan University of Science and Technology, Irbid, Jordan. He received his Ph.D. in Electrical Engineering from North Carolina State University in 2004. From 1996 to 2000, he was a planning Engineer at Jordan Telecom, Amman, Jordan. From January 2004 to 2005, he was a research associate post-doctorate at the Department Electrical and Computer Engineering, North Carolina State University. Currently he is an Assistant Professor of Electrical Engineering at the Hijawi faculty for Engineering Technology of Yarmouk University, Irbid, Jordan. His research interests are in nonlinear system identification, behavioural modelling of nonlinear RF circuits and wireless communications. He is a senior member of the Institute of Electrical and Electronics Engineering (IEEE) and the honour society Eta Kappa Nu.