Nonlinear Distortion in Wireless Systems: Modeling and Simulation with MATLAB
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.
Why Read This Book
You will learn practical, signal‑processing and system‑level techniques for modeling and simulating nonlinear distortion in real wireless links using MATLAB so you can predict how amplifiers and front‑end nonlinearity affect spectral occupancy and link performance. The book blends deterministic and stochastic analysis, behavioral models, and worked MATLAB examples to give you tools for both analysis and design of mitigation (e.g., predistortion) strategies.
Who Will Benefit
Engineers and graduate students working in wireless communications, RF system design, or DSP who need to model, simulate, and mitigate amplifier nonlinearity effects on modern communication signals.
Level: Advanced — Prerequisites: Undergraduate signals & systems and probability/stochastic processes, basic digital communications (modulation, BER/EVM concepts), and working familiarity with MATLAB; knowledge of RF hardware is helpful but not required.
Key Takeaways
- Model different nonlinear amplifier behaviors using memoryless and memory models (polynomial, Saleh, Rapp, Volterra/Wiener/Hammerstein).
- Simulate and quantify spectral regrowth, intermodulation distortion (IMD), and adjacent channel power (ACPR) for deterministic and stochastic inputs.
- Evaluate system‑level impact of nonlinearity on communication metrics such as EVM, BER, and SNR using MATLAB examples.
- Implement and test behavioral and measurement‑based models for single‑ and multi‑carrier systems, and explore multichannel/MIMO interactions.
- Design and assess linearization techniques (predistortion and other compensation methods) and compare their effectiveness via simulation.
Topics Covered
- Introduction: Nonlinearity in Wireless Systems and Modeling Overview
- Signals for Nonlinear Analysis: Deterministic and Stochastic Inputs
- Memoryless Nonlinear Models: Polynomial and Empirical Models
- Dynamic Nonlinear Models: Volterra, Wiener and Hammerstein Approaches
- Behavioral and Measurement‑Based Modeling Techniques
- Spectral Analysis and FFT Techniques for Nonlinear Distortion
- Intermodulation, Spectral Regrowth and Adjacent Channel Metrics
- Performance Metrics: EVM, BER, ACPR, and System‑Level Impact
- Nonlinearity in Multicarrier and Multichannel Systems (OFDM, WCDMA)
- Adaptive Techniques and Linearization: Predistortion Methods
- Simulation Methodology and MATLAB Implementation Examples
- Case Studies: Radar, Audio/Speech, and Communications Examples
- Practical Considerations, Measurement Matching, and Model Validation
- Appendices: Mathematical Background, MATLAB Code Listings, References
Languages, Platforms & Tools
How It Compares
Compared with Steve Cripps' RF Power Amplifiers (which emphasizes device and circuit‑level PA design), Gharaibeh focuses more on system‑level modeling, stochastic analysis and MATLAB simulation; compared to specialized texts on digital predistortion (e.g., Morgan et al.), this book covers a broader range of nonlinear modeling and performance metrics rather than only DPD algorithm development.
