Modeling of Digital Communication Systems Using SIMULINK

Arthur A. Giordano, Allen H. Levesque

• Publisher: Wiley
• Year: 2015
• Print ISBN: 9781118400050
• eBook ISBN: 9781119009535
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

A comprehensive and detailed treatment of the program SIMULINK® that focuses on SIMULINK® for simulations in Digital and Wireless Communications Modeling of Digital Communication Systems Using SIMULINK® introduces the reader to SIMULINK®, an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK® in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK ® is organized in two parts. The first addresses Simulink ® models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems.

• Covers case examples, progressing from basic to complex
• Provides applications formobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling
• Includes access to useable SIMULINK® simulations online

• All models in the text have been updated to R2018a; only problem sets require updating to the latest release by the user
  
  

Covering both the use of SIMULINK® in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems Using SIMULINK ® is a great resource for both practicing engineers and students with MATLAB experience.

Chapter 1
Getting Started With Simulink

1.1 Introduction

This chapter describes the basic steps to be followed in building a Simulink model. The model presented in this chapter is a simple one: generation of a sinusoidal signal. This presentation uses MATLAB 2014a¹, incorporating Simulink and blocks extracted from the Simulink Library Browser. Subsequent chapters will utilize blocks from the Simulink Library Browser including the Communications System Toolbox and the DSP System Toolbox. The Communications System Toolbox provides a collection of MATLAB functions and simulation blocks that can be utilized for a wide range of digital communications systems simulation models. While MATLAB and Simulink are available for a variety of operating systems, all of the descriptions and examples presented in this book are implemented on Windows-based computers.

A comprehensive presentation of MATLAB^® and Simulink^® by The MathWorks™ is available at http://www.mathworks.com/help/. Product descriptions from this documentation are provided as follows:

Matlab^®

1. MATLAB^® is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java^®. MATLAB is an abbreviation for “matrix laboratory.” While other programming languages mostly work with numbers one at a time,MATLAB is designed to operate primarily on whole matrices and arrays.

Simulink^®

1. Simulink^® is a block diagram environment for multidomain simulation and Model-Based Design. It supports system-level design, simulation, automatic code generation, and continuous test and verification of embedded systems. Simulink provides a graphical editor, customizable block libraries, and solvers for modeling and simulating dynamic systems. It is integrated with MATLAB, enabling you to incorporate MATLAB algorithms into models and export simulation results to MATLAB for further analysis.

Upon gaining familiarity with Simulink, the user will discover that multiple paths can be followed in developing a Simulink model. The choice of the path is left to the user but each path will lead to the sa...

Table of contents

• Cover
• Title Page
• Copyright
• Table of Contents
• Dedication
• Preface
• Acknowledgments
• About the Companion Website
• Abbreviations and Acronyms
• Chapter 1: Getting Started With Simulink
• Chapter 2: Sinusoidal Simulink Model
• Chapter 3: Digital Communications BER Performance in AWGN (BPSK and QPSK)
• Chapter 4: Digital Communications BER Performance in AWGN (MPSK & QAM)
• Chapter 5: Digital Communications BER Performance in AWGN (FSK and MSK)
• Chapter 6: Digital Communications BER Performance in AWGN (BPSK in Fading)
• Chapter 7: Digital Communications BER Performance in AWGN (FSK in Fading)
• Chapter 8: Digital Communications BER Performance (STBC)
• Chapter 9: Digital Communications BER Performance in AWGN (Block Coding)
• Chapter 10: Digital Communications BER Performance in AWGN (Block Coding and Fading)
• Chapter 11: Digital Communications BER Performance in AWGN and Fading (Convolutional Coding)
• Chapter 12: Adaptive Equalization in Digital Communications
• Chapter 13: Simulink Examples
• Appendix A: Principal Simulink Blocks used in Chapters 1–13
• Appendix B: Further Reading
• Index
• End User License Agreement