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.

This book covers the principles of modeling and simulation of nonlinear distortion in wireless communication systems with MATLAB(r) 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(r) and MATLAB Simulink(r) 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(r)
* 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(r) 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.

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
1.2 Nonlinear Distortion in Wireless Systems 6
1.3 Modeling and Simulation of Nonlinear Systems 12
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
2.2 Digital Signal Processing in Wireless Systems 30
2.3 Mobile System Standards 45
2.4 Wireless Network Standards 52
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
3.2 Empirical Nonlinear Models 74
3.3 Parameter Extraction of Nonlinear Models from Measured Data 76
3.4 Summary 80
4 Nonlinear Transformation of Deterministic Signals 83
4.1 Complex Baseband Analysis and Simulations 84
4.2 Complex Baseband Analysis of Memoryless Nonlinear Systems 90
4.3 Complex Baseband Analysis of Nonlinear Systems with Memory 94
4.4 Complex Envelope Analysis with Multiple Bandpass Signals 97
4.5 Examples-Response of Power-Series Model to Multiple Signals 106
4.6 Summary 111
5 Nonlinear Transformation of Random Signals 113
5.1 Preliminaries 114
5.2 Linear Systems with Stochastic Inputs 114
5.3 Response of a Nonlinear System to a Random Input Signal 116
5.4 Response of Nonlinear Systems to Gaussian Inputs 119
5.5 Response of Nonlinear Systems to Multiple Random Signals 123
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
6.3 Autocorrelation Function and Spectral Analysis of the Orthogonalized Model 140
6.4 Relationship Between System Performance and Uncorrelated Distortion 144
6.5 Examples 146
6.6 Measurement of Uncorrelated Distortion 154
6.7 Summary 155
7 Nonlinear System Figures of Merit 157
7.1 Analogue System Nonlinear Figures of Merit 158
7.2 Adjacent-Channel Power Ratio (ACPR) 161
7.3 Signal-to-Noise Ratio (SNR) 161
7.4 CDMA Waveform Quality Factor (Á) 163
7.5 Error Vector Magnitude (EVM) 163
7.6 Co-Channel Power Ratio (CCPR) 164
7.7 Noise-to-Power Ratio (NPR) 164
7.8 Noise Figure in Nonlinear Systems 167
7.9 Summary 173
8 Communication System Models and Simulation in MATLAB(r) 175
8.1 Simulation of Communication Systems 176
8.2 Choosing the Sampling Rate in MATLAB(r) Simulations 178
8.3 Random Signal Generation in MATLAB(r) 178
8.4 Pulse-Shaping Filters 180
8.5 Error Detection and Correction 183
8.6 Digital Modulation in MATLAB(r) 184
8.7 Channel Models in MATLAB(r) 188
8.8 Simulation of System Performance in MATLAB(r) 188
8.9 Generation of Communications Signals in MATLAB(r) 198
8.10 Example 210
8.11 Random Signal Generation in Simulink(r) 211
8.12 Digital Modulation in Simulink(r) 214
8.13 Simulation of System Performance in Simulink(r) 214
8.14 Summary 220
9 Simulation of Nonlinear Systems in MATLAB(r) 221
9.1 Generation of Nonlinearity in MATLAB(r) 221
9.2 Fitting a Nonlinear Model to Measured Data 224
9.3 Autocorrelation and Spectrum Estimation 235
9.4 Spectrum of the Output of a Memoryless Nonlinearity 240
9.5 Spectrum of the Output of a Nonlinearity with Memory 246
9.6 Spectrum of Orthogonalized Nonlinear Model 251
9.7 Estimation of System Metrics from Simulated Spectra 256
9.8 Simulation of Probability of Error 263
9.9 Simulation of Noise-to-Power Ratio 268
9.10 Simulation of Nonlinear Noise Figure 271
9.11 Summary 278
10 Simulation of Nonlinear Systems in Simulink(r) 279
10.1 RF Impairments in Simulink(r) 280
10.2 Nonlinear Amplifier Mathematical Models in Simulink(r) 283
10.3 Nonlinear Amplifier Physical Models in Simulink(r) 289
10.4 Measurements of Distortion and System Metrics 297
10.5 Example: Performance of Digital Modulation with Nonlinearity 301
10.6 Simulation of Noise-to-Power Ratio 302
10.7 Simulation of Noise Figure in Nonlinear Systems 304
10.8 Summary 306
Appendix A Basics of Signal and System Analysis 307
A.1 Signals 308
A.2 Systems 308
Appendix B Random Signal Analysis 311
B.1 Random Variables 312
B.2 Two Random Variables 314
B.3 Multiple Random Variables 316
B.4 Complex Random Variables 317
B.5 Gaussian Random Variables 318
B.6 Random Processes 321
B.7 The Power Spectrum 324
Appendix C Introduction to MATLAB(r) 329
C.1 MATLAB(r) Scripts 329
C.2 MATLAB(r) Structures 330
C.3 MATLAB(r) Graphics 330
C.4 Random Number Generators 330
C.5 Moments and Correlation Functions of Random Sequences 332
C.6 Fourier Transformation 332
C.7 MATLAB(r) Toolboxes 333
C.8 Simulink(r) 335
References 341
Index 347