Nolinear Distortion in Wireless Systems -- Modeling and Simulation with Matlab

By Khaled M. Gharaibeh

Contents

Preface
List of Abbreviations
List of Figures
List of Tables
Acknowledgements

1 Introduction
1.1 Nonlinearity in Wireless Communication Systems
1.2 Nonlinear Distortion in Wireless Systems
1.3 Modeling and Simulation of Nonlinear Systems
1.4 Organization of the Book
1.5 Summary


2 Wireless Communication Systems, Standards and Signal Models
2.1 Wireless System Architecture
2.2 Digital Signal Processing in Wireless Systems
2.3 Mobile System Standards
2.4 Wireless Network Standards
2.5 Nonlinear Distortion in Different Wireless Standards
2.6 Summary

3 Modeling of Nonlinear Systems
3.1 Analytical Nonlinear Models
3.2 Empirical Nonlinear Models
3.3 Parameter Extraction of Nonlinear Models from Measured Data
3.4 Summary

4 Nonlinear Transformation of Deterministic Signals
4.1 Complex Baseband Analysis and Simulations
4.2 Complex Baseband Analysis of Memoryless Nonlinear Systems
4.3 Complex Baseband Analysis of Nonlinear Systems with Memory
4.4 Complex Envelope Analysis with Multiple Bandpass Signals
4.5 Examples–Response of Power-Series Model to Multiple Signals
4.6 Summary

5 Nonlinear Transformation of Random Signals
5.1 Preliminaries
5.2 Linear Systems with Stochastic Inputs
5.3 Response of a Nonlinear System to a Random Input Signal
5.4 Response of Nonlinear Systems to Gaussian Inputs
5.5 Response of Nonlinear Systems to Multiple Random Signals
5.6 Response of Nonlinear Systems to a Random Signal and a Sinusoid
5.7 Summary

6 Nonlinear Distortion
6.1 Identification of Nonlinear Distortion in Digital Wireless Systems
6.2 Orthogonalization of the Behavioral Model
6.3 Autocorrelation Function and Spectral Analysis
of the Orthogonalized Model
6.4 Relationship Between System Performance and Uncorrelated Distortion
6.5 Examples
6.6 Measurement of Uncorrelated Distortion
6.7 Summary

7 Nonlinear System Figures of Merit
7.1 Analogue System Nonlinear Figures of Merit
7.2 Adjacent-Channel Power Ratio (ACPR)
7.3 Signal-to-Noise Ratio (SNR)
7.4 CDMA Waveform Quality Factor (ρ)
7.5 Error Vector Magnitude (EVM)
7.6 Co-Channel Power Ratio (CCPR)
7.7 Noise-to-Power Ratio (NPR)
7.7.1 NPR of Communication Signals
7.7.2 NBGN Model for Input Signal
7.8 Noise Figure in Nonlinear Systems
7.9 Summary

8 Communication System Models and Simulation in MATLAB®
8.1 Simulation of Communication Systems
8.2 Choosing the Sampling Rate in MATLAB® Simulations
8.3 Random Signal Generation in MATLAB®
8.4 Pulse-Shaping Filters
8.5 Error Detection and Correction
8.6 Digital Modulation in MATLAB®
8.7 Channel Models in MATLAB®
8.8 Simulation of System Performance in MATLAB®
8.9 Generation of Communications Signals in MATLAB®
8.10 Example
8.11 Random Signal Generation in Simulink®
8.12 Digital Modulation in Simulink®
8.13 Simulation of System Performance in Simulink®
8.14 Summary

9 Simulation of Nonlinear Systems in MATLAB®
9.1 Generation of Nonlinearity in MATLAB®
9.2 Fitting a Nonlinear Model to Measured Data
9.3 Autocorrelation and Spectrum Estimation
9.4 Spectrum of the Output of a Memoryless Nonlinearity
9.5 Spectrum of the Output of a Nonlinearity with Memory
9.6 Spectrum of Orthogonalized Nonlinear Model
9.7 Estimation of System Metrics from Simulated Spectra
9.8 Simulation of Probability of Error
9.9 Simulation of Noise-to-Power Ratio
9.10 Simulation of Nonlinear Noise Figure
9.11 Summary
10 Simulation of Nonlinear Systems in Simulink®
10.1 RF Impairments in Simulink®
10.2 Nonlinear Amplifier Mathematical Models in Simulink®
10.3 Nonlinear Amplifier Physical Models in Simulink®
10.4 Measurements of Distortion and System Metrics
10.5 Example: Performance of Digital Modulation with Nonlinearity
10.6 Simulation of Noise-to-Power Ratio
10.7 Simulation of Noise Figure in Nonlinear Systems
10.8 Summary

Appendix A Basics of Signal and System Analysis

Appendix B Random Signal Analysis

Appendix C Introduction to MATLAB


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