Problem-Based Learning in Communication Systems Using MATLAB and Simulink

Kwonhue Choi, Huaping Liu

• Publisher: Wiley-IEEE Press
• Year: 2016
• Print ISBN: 9781119060345
• eBook ISBN: 9781119060215
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Mobile & Wireless Communications
• Index: Technology & Engineering

Designed to help teach and understand communication systems using a classroom-tested, active learning approach.

• Discusses communication concepts and algorithms, which are explained using simulation projects, accompanied by MATLAB and Simulink
• Provides step-by-step code exercises and instructions to implement execution sequences
• Includes a companion website that has MATLAB and Simulink model samples and templates (password: matlab) 

 

1
MATLAB AND SIMULINK BASICS

• Arithmetic operators.
• Vector and matrix manipulation.
• Symbolic math.
• Script file (m-file) and user-defined functions.

1.1 OPERATING ON VARIABLES AND PLOTTING GRAPHS IN MATLAB

The fundamental MATLAB commands can be categorized into six groups, each of which is covered in one subsection. The first four subsections deal with the operations of different variable types and the last two subsections deal with the plotting commands that are frequently used in this book. On a PC that is installed with MATLAB, start MATLAB. A command window will appear where one can type in and execute MATLAB commands. Execute the set of commands/codes in the boxes and check the results. This self-study method is one of the fastest ways to master the basic MATLAB commands.

In a report, document what each command does. Focus on the specific actions and purposes, rather than the execution results. For commands that return an error message, document the reasons. Follow this guideline for all exercises in Section 1.1.

A sample report is available from the companion website. For information to access this website, refer to the guide at the beginning of this book.

1.A

Operation of scalar variables.

1.	X	6.	X*Y-X*3-Y	11.	X=12e6
2.	X=12	7.	X=Y^2	12.	clc
3.	X=X+2	8.	Z=sqrt(Y)	13.	x=rand
4.	Y=X+3	9.	X=2; Y=4; Z=X+Y	14.	x=rand
5.	Y*6	10.	Z=X^Y	15.	help rand

In addition, explain why the same command executed twice in item 13 and item 14 generates different results.

1.B

Operation of complex numbers.

1.	i	6.	Z=X*Y	11.	angle(Z)
2.	j	7.	real(Z)	12.	wh...

Table of contents

• Cover
• IEEE Press Editorial Board
• Title page
• Copyright
• PREFACE
• ACKNOWLEDGMENTS
• NOTATION AND LIST OF SYMBOLS
• LIST OF ACRONYMS
• CONTENT-MAPPING TABLE WITH MAJOR EXISTING TEXTBOOKS
• LAB CLASS ASSIGNMENT GUIDE
• ABOUT THE COMPANION WEBSITE
• 1 MATLAB AND SIMULINK BASICS
• 2 NUMERICAL INTEGRATION AND ORTHOGONAL EXPANSION
• 3 FOURIER SERIES AND FREQUENCY TRANSFER FUNCTION
• 4 FOURIER TRANSFORM
• 5 CONVOLUTION
• 6 LOW PASS FILTER AND BAND PASS FILTER DESIGN
• 7 SAMPLING AND RECONSTRUCTION
• 8 CORRELATION AND SPECTRAL DENSITY
• 9 AMPLITUDE MODULATION
• 10 QUADRATURE MULTIPLEXING AND FREQUENCY DIVISION MULTIPLEXING
• 11 HILBERT TRANSFORM, ANALYTIC SIGNAL, AND SSB MODULATION
• 12 VOLTAGE-CONTROLLED OSCILLATOR AND FREQUENCY MODULATION
• 13 PHASE-LOCKED LOOP AND SYNCHRONIZATION
• 14 PROBABILITY AND RANDOM VARIABLES
• 15 RANDOM SIGNALS
• 16 MAXIMUM LIKELIHOOD DETECTION FOR BINARY TRANSMISSION
• 17 SIGNAL VECTOR SPACE AND MAXIMUM LIKELIHOOD DETECTION I
• 18 SIGNAL VECTOR SPACE AND MAXIMUM LIKELIHOOD DETECTION II
• 19 CORRELATOR-BASED MAXIMUM LIKELIHOOD DETECTION
• 20 PULSE SHAPING AND MATCHED FILTER
• 21 BER SIMULATION AT THE WAVEFORM LEVEL
• 22 QPSK AND OFFSET QPSK IN SIMULINK
• 23 QUADRATURE AMPLITUDE MODULATION IN SIMULINK
• 24 CONVOLUTIONAL CODE
• 25 FADING, DIVERSITY, AND COMBINING
• 26 ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING IN AWGN CHANNELS
• 27 ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING OVER MULTIPATH FADING CHANNELS
• 28 MIMO SYSTEM—PART I: SPACE TIME CODE
• 29 MIMO SYSTEM—PART II: SPATIAL MULTIPLEXING
• 30 NEAR-ULTRASONIC WIRELESS ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING MODEM DESIGN
• INDEX
• IEEE PRESS SERIES ON DIGITAL AND MOBILE COMMUNICATION
• EULA