PRINCIPLES OF
COMMUNICATIONS
Systems, Modulation,
and Noise
SIXTH EDITION

RODGER E. ZIEMER
University of Colorado at Colorado Springs

WILLIAM H. TRANTER
Virginia Polytechnic Institute and State University

John Wiley & Sons, Inc.


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Library of Congress Cataloging in Publication Data:
Ziemer, Rodger E.
Principles of communications : systems, modulation, and noise / R.E. Ziemer, W.H. Tranter.—6th ed.
p. cm.
Includes bibliographical references and index.
ISBN 978-0-470-25254-3 (cloth)
1. Telecommunication. 2. Signal theory (Telecommunication) I. Tranter, William H. II. Title.
TK5105.Z54 2009
621.382 02—dc22

2008042932

Printed in the United States of America
10 9 8 7 6 5 4 3 2 1


To our families.
Rodger Ziemer and Bill Tranter


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PREFACE

As in previous editions, the objective of this book is to provide, in a single volume, a thorough
treatment of the principles of communication systems, both analog and digital, at the physical
layer. As with the previous five editions of this book, the sixth edition targets both senior-level
and beginning graduate students in electrical and computer engineering. Although a previous
course on signal and system theory would be useful to students using this book, an overview of
this fundamental background material is included early in the book (Chapter 2). A significant
change in the sixth edition is the addition of a new chapter (Chapter 4) covering the principles of
baseband data transmission. Included in this new chapter are line codes, pulse shaping and
intersymbol interference, zero-forcing equalization, eye diagrams, and basic ideas on symbol
synchronization without the complicating factor of noise. Following overview chapters on
probability and random processes (Chapters 5 and 6), the book turns to the central theme of
characterizing the performance of both analog (Chapter 7) and digital (Chapters 8–11)
communication systems in the presence of noise. Significant additions to the book include
an expanded treatment of phase-locked loops, including steady-state tracking errors of firstorder, second-order, and third-order loops, the derivation and comparative performances of
M-ary digital modulation systems, an expanded treatment of equalization, and the relative bit

error rate performance of BCH, Reed-Solomon, Golay, and convolutional codes. Each chapter
contains a number of worked examples as well as several computer examples, a summary
delineating the important points of the chapter, references, homework problems, and computer
problems.
Enabled by rapid and continuing advances in microelectronics, the field of communications has seen many innovations since the first edition of this book was published in 1976. The
cellular telephone is a ubiquitous example. Other examples include wireless networks, satellite
communications including commercial telephone, television and radio, digital radio and
television, and GPS systems, to name only a few. While there is always a strong desire to
include a variety of new applications and technologies in a new edition of a book, we continue
to believe that a first course in communications serves the student best if the emphasis is placed
on fundamentals. We feel that application examples and specific technologies, which often
have short lifetimes, are best treated in subsequent courses after students have mastered the
basic theory and analysis techniques. We have, however, been sensitive to new techniques that
are fundamental in nature and have added material as appropriate. As examples, sections on
currently important areas such as spread spectrum techniques, cellular communications, and
orthogonal frequency-division multiplexing are provided. Reactions to previous editions have
shown that emphasizing fundamentals, as opposed to specific technologies, serve the user well
while keeping the length of the book reasonable. This strategy appears to have worked well for
advanced undergraduates, for new graduate students who may have forgotten some of the

v


vi

Preface

fundamentals, and for the working engineer who may use the book as a reference or who may be
taking a course after-hours.
A feature of the previous edition of Principles of Communications was the inclusion of

several computer examples within each chapter. (MATLAB was chosen for these examples
because of its widespread use in both academic and industrial settings, as well as for
MATLAB’s rich graphics library.) These computer examples, which range from programs
for computing performance curves to simulation programs for certain types of communication
systems and algorithms, allow the student to observe the behavior of more complex systems
without the need for extensive computations. These examples also expose the student to
modern computational tools for analysis and simulation in the context of communication
systems. Even though we have limited the amount of this material in order to ensure that the
character of the book is not changed, the number of computer examples has been increased for
the sixth edition. In addition to the in-chapter computer examples, a number of “computer
exercises” are included at the end of each chapter. The number of these has also been increased
in the sixth edition. These exercises follow the end-of-chapter problems and are designed to
make use of the computer in order to illustrate basic principles and to provide the student with
additional insight. A number of new problems are included at the end of each chapter in
addition to a number of problems that were revised from the previous edition.
The publisher maintains a web site from which the source code for all in-chapter computer
examples may be downloaded. The URL is www.wiley.com/college/ziemer. We recommend
that, although MATLAB code is included in the text, students download MATLAB code of
interest from the publisher website. The code in the text is subject to printing and other types of
errors and is included to give the student insight into the computational techniques used for the
illustrative examples. In addition, the MATLAB code on the publisher website is periodically
updated as need justifies. This web site also contains complete solutions for the end-of-chapter
problems and computer exercises. (The solutions manual is password protected and is intended
only for course instructors.)
In order to compare the sixth edition of this book with the previous edition, we briefly
consider the changes chapter by chapter.
In Chapter 1, the tables have been updated. In particular Table 1.1, which identifies major
developments in communications, includes advances since the last edition of this book was
published. The role of the ITU and the FCC for allocating spectrum has been reworked.
References to turbo codes and to LDPC codes are now included.

Chapter 2, which is essentially a review of signal and system theory, remains basically
unchanged. However, several examples have been changed and two new examples have been
added. The material on complex envelopes has been clarified.
Chapter 3, which is devoted to basic modulation techniques, makes use of complex
envelope notation in the presentation of frequency modulation in order to build upon the ideas
presented in Chapter 2. In addition, Chapter 3 has been expanded to include significantly more
material on phase-locked loops operating in both the acquisition and tracking modes. The
phase-locked loop is a key building block of many communication system components
including frequency and phase demodulators, digital demodulators, and carrier and symbol
synchronizers.
Chapter 4, which is a new chapter for the sixth edition, covers basic digital transmission
techniques including line codes, pulse shaping and filtering, intersymbol interference, equalization, eye diagrams, and basic synchronization techniques. Covering this material early in the
book allows the student to appreciate the differences between analog and digital transmission


Preface

vii

techniques. This material is also presented without considering the complicating effects of
noise.
Chapters 5 and 6, which deal with basic probability theory and random processes, have not
been significantly changed from the previous edition. Some of the material has been rearranged
to increase clarity and readability.
Chapter 7 treats the noise performance of various analog modulation schemes and also
contains a brief discussion of pulse-code modulation. The introduction to this chapter has been
expanded to reflect the importance of noise and the sources of noise. This also serves to better
place Appendix A in context. In addition, this material has been reorganized so that it flows
better and is easier for the student to follow.
Binary digital data transmission in the presence of noise is the subject of Chapter 8. A

section on the noise performance of M-ary PAM systems has been added. The material dealing
with the noise performance of zero-ISI systems has been expanded as well as the material on
equalization. An example has been added which compares various digital transmission
schemes.
Chapter 9 treats more advanced topics in data communication systems including M-ary
systems, synchronization, spread-spectrum systems, multicarrier modulation and OFDM,
satellite links, and cellular radio communications. Derivations are now provided for the error
probability of M-ary QAM and NCFSK. A figure comparing PSK, DPSK, and QAM has been
added as well as a figure comparing CFSK and NCFSK. The derivation of the power density for
quadrature modulation schemes has been expanded as well as the material on synchronization.
The treatment of multicarrier modulation has also been expanded and information on 3G
cellular has been added.
Chapter 10, which deals with optimum receivers and signal-space concepts, is little
changed from the previous edition.
Chapter 11 provides the student with a brief introduction to the subjects of information
theory and coding. Our goal at the level of this book is not to provide an in-depth treatment of
information and coding but to give the student an appreciation of how the concepts of
information theory can be used to evaluate the performance of systems and how the concepts
of coding theory can be used to mitigate the degrading effects of noise in communication
systems. To this end we have expanded the computer examples to illustrate the performance of
BCH codes, the Golay code, and convolutional codes in the presence of noise.
We have used this text for various types of courses for a number of years. This book was
originally developed for a two-semester course sequence, with the first course covering basic
background material on linear systems and noiseless modulation (Chapters 1–4) and the second
covering noise effects on analog and digital modulation systems (Chapters 7–11). With a
previous background by the students in linear systems and probability theory, we know of
several instances where the book has been used for a one-semester course on analog and digital
communication system analysis in noise. While probably challenging for all but the best
students, this nevertheless gives an option that will get students exposed to modulation system
performance in noise in one semester. In short, we feel that it is presumptuous for us to tell

instructors using the book what material to cover and in what order. Suffice it to say we feel that
there is more than enough material included in the book to satisfy almost any course design at
the senior or beginning graduate levels.
We wish to thank the many persons who have contributed to the development of this
textbook and who have suggested improvements for the sixth edition. We especially thank our
colleagues and students at the University of Colorado at Colorado Springs, the Missouri


viii

Preface

University of Science and Technology, and Virginia Tech for their comments and suggestions.
The help of Dr. William Ebel at St. Louis University is especially acknowledged. We also
express our thanks to the many colleagues who have offered suggestions to us by correspondence or verbally. The industries and agencies that have supported our research deserve special
mention since, by working with them on various projects, we have expanded our knowledge
and insight significantly. These include the National Aeronautics and Space Administration,
the Office of Naval Research, the National Science Foundation, GE Aerospace, Motorola Inc.,
Emerson Electric Company, Battelle Memorial Institute, DARPA, Raytheon, and the LGIC
Corporation. The expert support of Cyndy Graham, who worked through many of the LaTeXrelated problems and who contributed significantly to the development of the solutions manual
is gratefully acknowledged.
We also thank the reviewers of this and all previous editions of this book. The reviewers for
the sixth edition deserve special thanks for their help and guidance. They were:
Larry Milstein, University of California – San Diego
Behnam Kamali, Mercer University
Yao Ma, Iowa State University
Michael Honig, Northwestern University
Emad Ebbini, University of Minnesota
All reviewers, past and present, contributed significantly to this book. They caught many errors
and made many valuable suggestions. The authors accept full responsibility for any remaining

errors or shortcomings.
Finally, our families deserve much more than a simple thanks for the patience and support
that they have given us throughout more than thirty years of seemingly endless writing projects.
It is to them that this book is dedicated.
Rodger E. Ziemer
William H. Tranter


CONTENTS

CHAPTER

1

INTRODUCTION 1
1.1

The Block Diagram of a Communication
System 3
1.2
Channel Characteristics 5
1.2.1
Noise Sources 5
1.2.2
Types of Transmission
Channels 6
1.3
Summary of Systems Analysis
Techniques 13
1.3.1

Time-Domain and FrequencyDomain Analyses 13
1.3.2
Modulation and Communication
Theories 13
1.4
Probabilistic Approaches to System
Optimization 14
1.4.1
Statistical Signal Detection and
Estimation Theory 14
1.4.2
Information Theory and
Coding 15
1.4.3
Recent Advances 15
1.5
Preview of This Book 16
Further Reading 16
CHAPTER

2.2
2.3
2.4

2.5

2.6

2


SIGNAL AND LINEAR SYSTEM
ANALYSIS 17
2.1

Signal Models 17
2.1.1
Deterministic and Random
Signals 17
2.1.2
Periodic and Aperiodic
Signals 18
2.1.3
Phasor Signals and Spectra
2.1.4
Singularity Functions 21

2.7

18

Signal Classifications 23
Generalized Fourier Series 25
Fourier Series 28
2.4.1
Complex Exponential Fourier
Series 28
2.4.2
Symmetry Properties of the Fourier
Coefficients 29
2.4.3

Trigonometric Form of the Fourier
Series 30
2.4.4
Parseval’s Theorem 31
2.4.5
Examples of Fourier Series 31
2.4.6
Line Spectra 33
The Fourier Transform 37
2.5.1
Amplitude and Phase Spectra 37
2.5.2
Symmetry Properties 38
2.5.3
Energy Spectral Density 39
2.5.4
Convolution 40
2.5.5
Transform Theorems: Proofs and
Applications 41
2.5.6
Fourier Transforms of Periodic
Signals 50
2.5.7
Poisson Sum Formula 51
Power Spectral Density and
Correlation 51
2.6.1
The Time-Average Autocorrelation
Function 52

2.6.2
Properties of R(t) 53
Signals and Linear Systems 56
2.7.1
Definition of a Linear
Time-Invariant System 56
2.7.2
Impulse Response and the
Superposition Integral 57
2.7.3
Stability 58
ix


x

Contents

2.7.4

Transfer (Frequency Response)
Function 58
2.7.5
Causality 59
2.7.6
Symmetry Properties of HðfÞ 59
2.7.7
Input-Output Relationships for
Spectral Densities 62
2.7.8

Response to Periodic Inputs 62
2.7.9
Distortionless Transmission 64
2.7.10 Group and Phase Delay 65
2.7.11 Nonlinear Distortion 67
2.7.12 Ideal Filters 68
2.7.13 Approximation of Ideal Lowpass
Filters by Realizable Filters 70
2.7.14 Relationship of Pulse Resolution
and Risetime to Bandwidth 74
2.8
Sampling Theory 78
2.9
The Hilbert Transform 82
2.9.1
Definition 82
2.9.2
Properties 83
2.9.3
Analytic Signals 85
2.9.4
Complex Envelope Representation
of Bandpass Signals 87
2.9.5
Complex Envelope Representation
of Bandpass Systems 89
2.10 Discrete Fourier Transform and Fast
Fourier Transform 91
Summary 95
Further Reading 99

Problems 100
Computer Exercises 110
CHAPTER

3.2

3.3

3.4

3.5

3

BASIC MODULATION
TECHNIQUES 111
3.1

Linear Modulation 112
3.1.1
Double-Sideband
Modulation 112
3.1.2
Amplitude Modulation 115
3.1.3
Single-Sideband Modulation 121
3.1.4
Vestigial-Sideband
Modulation 129
3.1.5

Frequency Translation and
Mixing 133

3.6

3.7

Angle Modulation 136
3.2.1
Narrowband Angle
Modulation 138
3.2.2
Spectrum of an Angle-Modulated
Signal 141
3.2.3
Power in an Angle-Modulated
Signal 147
3.2.4
Bandwidth of Angle-Modulated
Signals 147
3.2.5
Narrowband-to-Wideband
Conversion 152
3.2.6
Demodulation of Angle-Modulated
Signals 154
Interference 159
3.3.1
Interference in Linear
Modulation 159

3.3.2
Interference in Angle
Modulation 162
Feedback Demodulators: The
Phase-Locked Loop 167
3.4.1
Phase-Locked Loops for FM and
PM Demodulation 167
3.4.2
Phase-Locked Loop Operation
in the Tracking Mode: The Linear
Model 170
3.4.3
Phase-Locked Loop Operation
in the Acquisition Mode 176
3.4.4
Costas PLLs 180
3.4.5
Frequency Multiplication and
Frequency Division 181
Analog Pulse Modulation 182
3.5.1
Pulse-Amplitude Modulation
183
3.5.2
Pulse-Width Modulation
(PWM) 184
3.5.3
Pulse-Position Modulation
(PPM) 186

Delta Modulation and PCM 187
3.6.1
Delta Modulation 187
3.6.2
Pulse-Code Modulation 190
Multiplexing 191
3.7.1
Frequency-Division
Multiplexing 192


Contents

3.7.2

Example of FDM: Stereophonic
FM Broadcasting 193
3.7.3
Quadrature Multiplexing 193
3.7.4
Time-Division Multiplexing 195
3.7.5
An Example: The Digital
Telephone System 197
3.7.6
Comparison of Multiplexing
Schemes 198
Summary 198
Further Reading 202
Problems 202

Computer Exercises 208

CHAPTER

4

PRINCIPLES OF BASEBAND DIGITAL
DATA TRANSMISSION 210
Baseband Digital Data Transmission
Systems 210
4.2
Line Codes and Their Power
Spectra 211
4.2.1
Description of Line
Codes 211
4.2.2
Power Spectra for Line Coded
Data 213
4.3
Effects of Filtering of Digital Data:
ISI 220
4.4
Pulse Shaping: Nyquist’s Criterion
for Zero ISI 222
4.4.1
Pulses Having the Zero-ISI
Property 222
4.4.2
Nyquist’s Pulse Shaping

Criterion 225
4.4.3
Transmitter and Receiver Filters for
Zero ISI 226
4.5
Zero-Forcing Equalization 228
4.6
Eye Diagrams 232
4.7
Synchronization 234
4.8
Carrier Modulation of Baseband Digital
Signals 238
Summary 239
Further Reading 240
Problems 241
Computer Exercises 243

CHAPTER

xi

5

OVERVIEW OF PROBABILITY AND
RANDOM VARIABLES 244
5.1

5.2


4.1

5.3

What is Probability? 244
5.1.1
Equally Likely Outcomes 244
5.1.2
Relative Frequency 245
5.1.3
Sample Spaces and the Axioms
of Probability 245
5.1.4
Venn Diagrams 245
5.1.5
Some Useful Probability
Relationships 247
5.1.6
Tree Diagrams 250
5.1.7
Some More General
Relationships 251
Random Variables and Related
Functions 254
5.2.1
Random Variables 254
5.2.2
Probability (Cumulative)
Distribution Functions 254
5.2.3

Probability Density Function
256
5.2.4
Joint cdfs and pdfs 259
5.2.5
Transformation of Random
Variables 263
Statistical Averages 268
5.3.1
Average of a Discrete Random
Variable 268
5.3.2
Average of a Continuous Random
Variable 268
5.3.3
Average of a Function of a Random
Variable 269
5.3.4
Average of a Function of
More Than One Random
Variable 271
5.3.5
Variance of a Random
Variable 272
5.3.6
Average of a Linear Combination
of N Random Variables 273
5.3.7
Variance of a Linear Combination
of Independent Random

Variables 274
5.3.8
Another Special Average: The
Characteristic Function 275


xii

Contents

5.3.9

The pdf of the Sum of Two
Independent Random
Variables 276
5.3.10 Covariance and the Correlation
Coefficient 278
5.4
Some Useful pdfs 279
5.4.1
Binomial Distribution 279
5.4.2
Laplace Approximation to the
Binomial Distribution 282
5.4.3
Poisson Distribution and Poisson
Approximation to the Binomial
Distribution 282
5.4.4
Geometric Distribution 284

5.4.5
Gaussian Distribution 284
5.4.6
Gaussian Q-Function 288
5.4.7
Chebyshev’s Inequality 289
5.4.8
Collection of Probability Functions
and Their Means and
Variances 289
Summary 290
Further Reading 293
Problems 294
Computer Exercises 299

CHAPTER

6

RANDOM SIGNALS AND NOISE 301
6.1
6.2

6.3

A Relative-Frequency Description of
Random Processes 301
Some Terminology of Random
Processes 302
6.2.1

Sample Functions and
Ensembles 302
6.2.2
Description of Random Processes
in Terms of Joint pdfs 303
6.2.3
Stationarity 304
6.2.4
Partial Description of Random
Processes: Ergodicity 304
6.2.5
Meanings of Various Averages for
Ergodic Processes 308
Correlation and Power Spectral
Density 309
6.3.1
Power Spectral Density 309

6.3.2

The Wiener-Khinchine
Theorem 311
6.3.3
Properties of the Autocorrelation
Function 313
6.3.4
Autocorrelation Functions for
Random Pulse Trains 314
6.3.5
Cross-Correlation Function and

Cross-Power Spectral
Density 316
6.4
Linear Systems and Random
Processes 317
6.4.1
Input-Output Relationships 317
6.4.2
Filtered Gaussian Processes 320
6.4.3
Noise-Equivalent Bandwidth 322
6.5
Narrowband Noise 325
6.5.1
Quadrature-Component and
Envelope-Phase
Representation 325
6.5.2
The Power Spectral Density
Function of nc(t) and ns(t) 327
6.5.3
Ricean Probability Density
Function 329
Summary 331
Further Reading 334
Problems 334
Computer Exercises 339
CHAPTER

7


NOISE IN MODULATION SYSTEMS 341
7.1

7.2
7.3

Signal-to-Noise Ratios 342
7.1.1
Baseband Systems 342
7.1.2
Double-Sideband Systems 343
7.1.3
Single-Sideband Systems 345
7.1.4
Amplitude Modulation
Systems 347
Noise and Phase Errors in Coherent
Systems 353
Noise in Angle Modulation 357
7.3.1
The Effect of Noise on the Receiver
Input 357
7.3.2
Demodulation of PM 359
7.3.3
Demodulation of FM: Above
Threshold Operation 360



Contents

7.3.4 Performance Enhancement
Through the Use of De-emphasis
362
7.4
Threshold Effect in FM Demodulation 363
7.4.1
Threshold Effects in FM
Demodulators 363
7.5
Noise in Pulse-Code Modulation 371
7.5.1
Postdetection SNR 371
7.5.2
Companding 375
Summary 376
Further Reading 378
Problems 379
Computer Exercises 382
CHAPTER

8.2

8.3

8.4
8.5

8.6


Performance of Zero-ISI Digital Data
Systems 426
8.7
Multipath Interference 431
8.8
Flat Fading Channels 437
8.9
Equalization 442
8.9.1
Equalization by Zero-Forcing
442
8.9.2
Equalization by Minimum
Mean-Squared Error 446
8.9.3
Tap Weight Adjustment 449
Summary 450
Further Reading 453
Problems 453
Computer Exercises 459

8

PRINCIPLES OF DATA TRANSMISSION
IN NOISE 384
8.1

xiii


Baseband Data Transmission in White
Gaussian Noise 386
Binary Data Transmission
with Arbitrary Signal Shapes 391
8.2.1
Receiver Structure and Error
Probability 392
8.2.2
The Matched Filter 394
8.2.3
Error Probability for the
Matched-Filter Receiver 398
8.2.4
Correlator Implementation of
the Matched-Filter Receiver 400
8.2.5
Optimum Threshold 401
8.2.6
Nonwhite (Colored) Noise
Backgrounds 402
8.2.7
Receiver Implementation
Imperfections 402
8.2.8
Error Probabilities for Coherent
Binary Signaling 403
Modulation Schemes Not Requiring
Coherent References 403
8.3.1
Differential Phase-Shift Keying

(DPSK) 409
8.3.2
Noncoherent FSK 417
M-ary PAM 418
Comparison of Digital Modulation
Systems 423

CHAPTER

9

ADVANCED DATA COMMUNICATIONS
TOPICS 460
9.1

M-ary Data Communications
Systems 460
9.1.1
M-ary Schemes Based on
Quadrature Multiplexing
460
9.1.2
OQPSK Systems 464
9.1.3
MSK Systems 465
9.1.4
M-ary Data Transmission in
Terms of Signal Space 471
9.1.5
QPSK in Terms of Signal

Space 474
9.1.6
M-ary Phase-Shift Keying
475
9.1.7
Quadrature-Amplitude Modulation
478
9.1.8
Coherent (FSK) 480
9.1.9
Noncoherent (FSK) 481
9.1.10 Differentially Coherent Phase-Shift
Keying 485
9.1.11 Bit-Error Probability from SymbolError Probability 486
9.1.12 Comparison of M-ary
Communications Systems
on the Basis of Bit Error
Probability 488


xiv

Contents

Comparison of M-ary Communications Systems on the Basis of
Bandwidth Efficiency 491
Power Spectra for Quadrature
Modulation Techniques 492
Synchronization 499
9.3.1

Carrier Synchronization 499
9.3.2
Symbol Synchronization 502
9.3.3
Word Synchronization 504
9.3.4
Pseudo-Noise Sequences 507
Spread-Spectrum Communication
Systems 510
9.4.1
Direct-Sequence Spread
Spectrum 512
9.4.2
Performance in Continuous-Wave
(CW) Interference
Environments 515
9.4.3
Performance in Multiple User
Environments 516
9.4.4
Frequency-Hop Spread
Spectrum 519
9.4.5
Code Synchronization 520
9.4.6
Conclusion 522
Multicarrier Modulation and Orthogonal
Frequency Division Multiplexing 522
Satellite Communications 526
9.6.1

Antenna Coverage 528
9.6.2
Earth Stations and Transmission
Methods 530
9.6.3
Link Analysis: Bent-Pipe
Relay 532
9.6.4
Link Analysis: OBP Digital
Transponder 535
Cellular Radio Communication
Systems 537
9.7.1
Basic Principles of Cellular
Radio 538
9.7.2
Channel Perturbations in Cellular
Radio 542
9.7.3
Characteristics of 1G and 2G
Cellular Systems 543
9.7.4
Characteristics of W-CDMA and
cdma2000 544
9.1.13

9.2
9.3

9.4


9.5
9.6

9.7

Summary 546
Further Reading 549
Problems 549
Computer Exercises 553
CHAPTER

10

OPTIMUM RECEIVERS AND SIGNAL
SPACE CONCEPTS 554
10.1

10.2

10.3

Bayes Optimization 554
10.1.1 Signal Detection Versus
Estimation 554
10.1.2 Optimization Criteria 555
10.1.3 Bayes Detectors 555
10.1.4 Performance of Bayes
Detectors 559
10.1.5 The Neyman-Pearson

Detector 562
10.1.6 Minimum Probability-of-Error
Detectors 562
10.1.7 The Maximum a Posteriori
Detector 563
10.1.8 Minimax Detectors 563
10.1.9 The M-ary Hypothesis
Case 563
10.1.10 Decisions Based on Vector
Observations 564
Vector Space Representation of
Signals 564
10.2.1 Structure of Signal Space 565
10.2.2 Scalar Product 565
10.2.3 Norm 566
10.2.4 Schwarz’s Inequality 566
10.2.5 Scalar Product of Two Signals in
Terms of Fourier Coefficients 567
10.2.6 Choice of Basis Function Sets: The
Gram-Schmidt Procedure 569
10.2.7 Signal Dimensionality as a
Function of Signal Duration 571
Maximum A Posteriori Receiver
for Digital Data Transmission 573
10.3.1 Decision Criteria for Coherent
Systems in Terms of Signal
Space 573


Contents


10.3.2 Sufficient Statistics 578
10.3.3 Detection of M-ary Orthogonal
Signals 579
10.3.4 A Noncoherent Case 581
10.4 Estimation Theory 585
10.4.1 Bayes Estimation 586
10.4.2 Maximum-Likelihood
Estimation 588
10.4.3 Estimates Based on Multiple
Observations 589
10.4.4 Other Properties of ML
Estimates 591
10.4.5 Asymptotic Qualities of ML
Estimates 592
10.5 Applications of Estimation Theory to
Communications 592
10.5.1 Pulse-Amplitude Modulation
593
10.5.2 Estimation of Signal Phase:
The PLL Revisited 594
Summary 597
Further Reading 598
Problems 598
Computer Exercises 605
CHAPTER

11

INFORMATION THEORY AND

CODING 606
11.1

11.2

Basic Concepts 607
11.1.1 Information 607
11.1.2 Entropy 608
11.1.3 Discrete Channel Models 609
11.1.4 Joint and Conditional
Entropy 612
11.1.5 Channel Capacity 613
Source Coding 617
11.2.1 An Example of Source
Coding 618
11.2.2 Several Definitions 620
11.2.3 Entropy of an Extended Binary
Source 621
11.2.4 Shannon-Fano Source
Coding 622

11.2.5

xv

Huffman Source Coding
623
11.3 Communication in Noisy Environments:
Basic Ideas
624

11.4 Communication in Noisy Channels:
Block Codes 626
11.4.1 Hamming Distances and Error
Correction 627
11.4.2 Single-Parity-Check Codes
628
11.4.3 Repetition Codes 629
11.4.4 Parity-Check Codes
for Single Error
Correction 630
11.4.5 Hamming Codes 634
11.4.6 Cyclic Codes 635
11.4.7 Performance Comparison
Techniques 638
11.4.8 Block Code Examples 640
11.5 Communication in Noisy Channels:
Convolutional Codes 647
11.5.1 Tree and Trellis Diagrams
648
11.5.2 The Viterbi Algorithm 650
11.5.3 Performance Comparisons for
Convolutional Codes 653
11.6 Communication in Noisy Channels:
Other Techniques 657
11.6.1 Burst-Error-Correcting
Codes 657
11.6.2 Turbo Coding 659
11.6.3 Feedback Channels 661
11.7 Modulation and Bandwidth
Efficiency 665

11.7.1 Bandwidth and SNR 665
11.7.2 Comparison of Modulation
Systems 666
11.8 Bandwidth and Power Efficient
Modulation (TCM) 668
Summary 672
Further Reading 675
Problems 675
Computer Exercises 679


xvi

Contents

APPENDIX A
PHYSICAL NOISE SOURCES 681
A.l

A.2

A.3
A.4
A.5

Physical Noise Sources 681
A.1.1 Thermal Noise 681
A.1.2 Nyquist’s Formula 683
A.1.3 Shot Noise 684
A.1.4 Other Noise Sources 684

A.1.5 Available Power 685
A.1.6 Frequency Dependence 686
A.1.7 Quantum Noise 686
Characterization of Noise
in Systems 687
A.2.1 Noise Figure of a System 687
A.2.2 Measurement of Noise
Figure 689
A.2.3 Noise Temperature 691
A.2.4 Effective Noise Temperature
691
A.2.5 Cascade of Subsystems 692
A.2.6 Attenuator Noise Temperature
and Noise Figure 694
Free-Space Propagation
Exaxmple 695
Further Reading 698
Problems 699

APPENDIX C
PROOF OF THE NARROWBAND NOISE
MODEL 703
APPENDIX D
ZERO-CROSSING AND ORIGIN
ENCIRCLEMENT STATISTICS 706
D.l
D.2
D.3

The Zero-Crossing Problem 706

Average Rate of Zero Crossings 708
Problems 712

APPENDIX E
CHI-SQUARE STATISTICS 713
APPENDIX F
QUANTIZATION OF RANDOM
PROCESSES 715
APPENDIX G
MATHEMATICAL AND NUMERICAL
TABLES 719
G.l
G.2
G.3
G.4

The Gaussian Q-Function 719
Trigonometric Identities 721
Series Expansions 722
Integrals 722
G.4.1 Indefinite 722
G.4.2 Definite 723
Fourier Transform Pairs 724
Fourier Transform Theorems 725

APPENDIX B
JOINTLY GAUSSIAN RANDOM
VARIABLES 701

G.5

G.6

B.l
B.2
B.3

REFERENCES 726
AUTHOR INDEX 729
SUBJECT INDEX 731

The Probability Density Function 701
The Characteristic Function 701
Linear Transformations 702


CHAPTER

1

INTRODUCTION

We are said to live in an era called the intangible economy, driven not by the physical flow of material
goods but rather by the flow of information. If we are thinking about making a major purchase, for
example, chances are we will gather information about the product by an Internet search. Such
information gathering is made feasible by virtually instantaneous access to a myriad of facts about the
product, thereby making our selection of a particular brand more informed. When one considers the
technological developments that make such instantaneous information access possible, two main
ingredients surface: a reliable, fast means of communication and a means of storing the information for
ready access, sometimes referred to as the convergence of communications and computing.
This book is concerned with the theory of systems for the conveyance of information. A system

is a combination of circuits and/or devices that is assembled to accomplish a desired task, such as the
transmission of intelligence from one point to another. Many means for the transmission of
information have been used down through the ages ranging from the use of sunlight reflected
from mirrors by the Romans to our modern era of electrical communications that began with the
invention of the telegraph in the 1800s. It almost goes without saying that we are concerned about
the theory of systems for electrical communications in this book.

A characteristic of electrical communication systems is the presence of uncertainty. This
uncertainty is due in part to the inevitable presence in any system of unwanted signal perturbations, broadly referred to as noise, and in part to the unpredictable nature of information itself.
Systems analysis in the presence of such uncertainty requires the use of probabilistic techniques.
Noise has been an ever-present problem since the early days of electrical communication,
but it was not until the 1940s that probabilistic systems analysis procedures were used to
analyze and optimize communication systems operating in its presence (Wiener, 1949; Rice
1944, 1945).1 It is also somewhat surprising that the unpredictable nature of information was
not widely recognized until the publication of Claude Shannon’s mathematical theory of
communications (Shannon, 1948) in the late 1940s. This work was the beginning of the science
of information theory, a topic that will be considered in some detail later.
Major historical facts related to the development of electrical communications are given in
Table 1.1.

1

Refer to Historical References in the Bibliography.

1


2

Chapter 1


.

Introduction

Table 1.1 Major Events and Inventions in the Development of Electrical Communications
Year
1791
1826
1838
1864
1876
1887
1897
1904
1905
1906
1915
1918
1920
1925–1927
1931
1933
1936
1937
WWII
1944
1948
1948
1950

1956
1959
1960
1962
1966
1967
1969
1969
1970
1971
1975
1976
1977
1977
1979
1981
1981
1982
1983
1984
1985
1988

Event
Alessandro Volta invents the galvanic cell, or battery.
Georg Simon Ohm establishes a law on the voltage–current relationship in resistors.
Samuel F. B. Morse demonstrates the telegraph.
James C. Maxwell predicts electromagnetic radiation.
Alexander Graham Bell patents the telephone.
Heinrich Hertz verifies Maxwell’s theory.

Guglielmo Marconi patents a complete wireless telegraph system.
John Fleming patents the thermionic diode.
Reginald Fessenden transmits speech signals via radio.
Lee De Forest invents the triode amplifier.
The Bell System completes a U.S. transcontinental telephone line.
B. H. Armstrong perfects the superheterodyne radio receiver.
J. R. Carson applies sampling to communications.
First television broadcasts in England and the United States.
Teletypwriter service is initialized.
Edwin Armstrong invents frequency modulation.
Regular television broadcasting begun by the British Broadcasting Corporation.
Alec Reeves conceives pulse-code modulation (PCM).
Radar and microwave systems are developed. Statistical methods are applied to signal
extraction problems.
Computers put into public service (government owned).
The transister is invented by W. Brattain, J. Bardeen, and W. Shockley.
Claude Shannon’s A Mathematical Theory of Communications is published.
Time-division multiplexing is applied to telephoney.
First successful transoceanic telephone cable.
Jack Kilby patents the “Solid Circuit”—precurser to the integrated circuit.
First working laser demonstrated by T. H. Maiman of Hughes Research Labs. (Patent
awarded to G. Gould after a 20 year dispute with Bell Labs.)
First communications satellite, Telstar I, launched.
First successful facsimile (FAX) machine.
U.S. Supreme Court Carterfone decision opens the door for modem development.
Live television coverage of the manned moon exploration (Apollo 11).
First Internet started—ARPANET.
Low-loss optic fiber developed.
Microprocessor invented.
Ethernet patent filed.

Apple I home computer invented.
Live telephone traffic carried by a fiber-optic cable system.
Interplanetary grand tour launched: Jupiter, Saturn, Uranus, and Neptune.
First cellular telephone network started in Japan.
IBM personal computer developed and sold to public.
Hayes Smartmodem marketed (automatic dial-up allowing computer control).
Compact disc (CD) audio based on 16-bit PCM developed.
First 16-bit programmable digital signal processors sold.
Divestiture of AT&T’s local operations into seven Regional Bell Operating Companies.
Desktop publishing programs first sold. Ethernet developed.
First commercially available flash memory (later applied in cellular phones, etc.).


1.1

1988
1990s
1991
1993
mid-1990s
1995
1996
late
1990s
2001

2000s

Block Diagram of a Communication System


3

Asymmetric digital subscriber lines (ADSL) developed.
Very small aperture satellites (VSATs) become popular.
Application of echo cancellation results in low-cost 14,400-bps modems.
Invention of turbo coding allows approach to Shannon limit.
Second generation (2G) cellular systems fielded.
Global Positioning System (GPS) reaches full operational capability.
All-digital phone systems result in modems with 56 kbps download speeds.
Widespread personal and commercial applications of the Internet.
High definition TV becomes mainstream.
Apple iPoD first sold (October); 100 million sold by April 2007.
Fielding of 3G cellular telephone systems begins. WiFi and WiMAX allow wireless access
to the Internet and electronic devices wherever mobility is desired.
Wireless sensor networks, originally conceived for military applications, find civilian
applications such as environment monitoring, healthcare applications, home automation, and traffic control as well.

It is an interesting fact that the first electrical communication system, the telegraph, was
digital—that is, it conveyed information from point to point by means of a digital code consisting of
words composed of dots and dashes.2 The subsequent invention of the telephone 38 years after the
telegraph, wherein voice waves are conveyed by an analog current, swung the pendulum in favor of
this more convenient means of word communication for about 75 years [see Oliver et al. (1948)].
One may rightly ask, in view of this history, why the almost complete domination by digital
formatting in today’s world? There are several reasons among which are
1. Media integrity: A digital format suffers much less deterioration in reproduction than does
an analog record.
2. Media integration: Whether a sound, picture, or naturally digital data such as a word file, all
are treated the same when in digital format.
3. Flexible interaction: The digital domain is much more convenient for supporting anything
from one-on-one to many-to-many interactions.

4. Editing: Whether text, sound, images, or video, all are conveniently and easily edited when
in digital format.
With this brief introduction and history, we now look in more detail at the various
components that make up a typical communication system.

n 1.1 BLOCK DIAGRAM OF A COMMUNICATION SYSTEM
Figure 1.1 shows a commonly used model for a single-link communication system. Although it
suggests a system for communication between two remotely located points, this block diagram
is also applicable to remote sensing systems, such as radar or sonar, in which the system input
and output may be located at the same site. Regardless of the particular application and configuration, all information transmission systems invariably involve three major subsystems—a
transmitter, the channel, and a receiver. In this book we will usually be thinking in terms of
2

In the actual physical telegraph system, a dot was conveyed by a short double click by closing and opening of the circuit
with the telegrapher’s key (a switch), while a dash was conveyed by a longer double click by an extended closing of
the circuit by means of the telegrapher’s key.


4

Chapter 1

.

Introduction

Message
signal
Input
message


Input
transducer

Transmitted
signal

Transmitter

Carrier

Channel

Received
signal

Output
signal

Receiver

Output
transducer

Output
message

Additive noise, interference,
distortion resulting from bandlimiting and nonlinearities,
switching noise in networks,

electromagnetic discharges
such as lightning, powerline
corona discharge, and so on.

Figure 1.1

The Block Diagram of a Communication System.

systems for transfer of information between remotely located points. It is emphasized,
however, that the techniques of systems analysis developed are not limited to such systems.3
We will now discuss in more detail each functional element shown in Figure 1.1.
Input Transducer The wide variety of possible sources of information results in many
different forms for messages. Regardless of their exact form, however, messages may be
categorized as analog or digital. The former may be modeled as functions of a continuous-time
variable (for example, pressure, temperature, speech, music), whereas the latter consist of
discrete symbols (for example, written text). Almost invariably, the message produced by a
source must be converted by a transducer to a form suitable for the particular type of
communication system employed. For example, in electrical communications, speech waves
are converted by a microphone to voltage variations. Such a converted message is referred to as
the message signal. In this book, therefore, a signal can be interpreted as the variation of a
quantity, often a voltage or current, with time.
Transmitter The purpose of the transmitter is to couple the message to the channel. Although
it is not uncommon to find the input transducer directly coupled to the transmission medium, as,
for example, in some intercom systems, it is often necessary to modulate a carrier wave with the
signal from the input transducer. Modulation is the systematic variation of some attribute of
the carrier, such as amplitude, phase, or frequency, in accordance with a function of the message
signal. There are several reasons for using a carrier and modulating it. Important ones are
(1) for ease of radiation, (2) to reduce noise and interference, (3) for channel assignment,
(4) for multiplexing or transmission of several messages over a single channel, and (5) to
overcome equipment limitations. Several of these reasons are self-explanatory; others, such as

the second, will become more meaningful later.
3

More complex communications systems are the rule rather than the norm: a broadcast system, such as television or
commercial rado, is a one-to-many type of situation which is composed of several sinks receiving the same
information from a single source; a multiple-access communication system is where many users share the same
channel and is typified by satellite communications systems; a many-to-many type of communications scenario is the
most complex and is illustrated by examples such as the telephone system and the Internet, both of which allow
communication between any pair out of a multitude of users. For the most part, we consider only the simplest
situation in this book of a single sender to a single receiver, although means for sharing a communication resource
will be dealt with under the topics of multiplexing and multiple access.


1.2

Channel Characteristics

5

In addition to modulation, other primary functions performed by the transmitter are
filtering, amplification, and coupling the modulated signal to the channel (for example, through
an antenna or other appropriate device).
Channel The channel can have many different forms; the most familiar, perhaps, is the channel
that exists between the transmitting antenna of a commercial radio station and the receiving
antenna of a radio. In this channel, the transmitted signal propagates through the atmosphere, or
free space, to the receiving antenna. However, it is not uncommon to find the transmitter
hardwired to the receiver, as in most local telephone systems. This channel is vastly different
from the radio example. However, all channels have one thing in common: the signal undergoes
degradation from transmitter to receiver. Although this degradation may occur at any point of the
communication system block diagram, it is customarily associated with the channel alone. This

degradation often results from noise and other undesired signals or interference but also may
include other distortion effects as well, such as fading signal levels, multiple transmission paths,
and filtering. More about these unwanted perturbations will be presented shortly.
Receiver The receiver’s function is to extract the desired message from the received signal at
the channel output and to convert it to a form suitable for the output transducer. Although
amplification may be one of the first operations performed by the receiver, especially in radio
communications, where the received signal may be extremely weak, the main function of the
receiver is to demodulate the received signal. Often it is desired that the receiver output be a
scaled, possibly delayed, version of the message signal at the modulator input, although in
some cases a more general function of the input message is desired. However, as a result of the
presence of noise and distortion, this operation is less than ideal. Ways of approaching the ideal
case of perfect recovery will be discussed as we proceed.
Output Transducer The output transducer completes the communication system. This
device converts the electric signal at its input into the form desired by the system user. Perhaps
the most common output transducer is a loudspeaker. However, there are many other examples,
such as tape recorders, personal computers, meters, and cathode ray tubes, to name only a few.

n 1.2 CHANNEL CHARACTERISTICS
1.2.1 Noise Sources
Noise in a communication system can be classified into two broad categories, depending on its
source. Noise generated by components within a communication system, such as resistors,
electron tubes, and solid-state active devices is referred to as internal noise. The second
category, external noise, results from sources outside a communication system, including
atmospheric, man-made, and extraterrestrial sources.
Atmospheric noise results primarily from spurious radio waves generated by the natural
electrical discharges within the atmosphere associated with thunderstorms. It is commonly
referred to as static or spherics. Below about 100 MHz, the field strength of such radio waves is
inversely proportional to frequency. Atmospheric noise is characterized in the time domain by
large-amplitude, short-duration bursts and is one of the prime examples of noise referred to as
impulsive. Because of its inverse dependence on frequency, atmospheric noise affects



6

Chapter 1

.

Introduction

commercial amplitude modulation (AM) broadcast radio, which occupies the frequency range
from 540 kHz to 1.6 MHz, more than it affects television and frequency modulation (FM) radio,
which operate in frequency bands above 50 MHz.
Man-made noise sources include high-voltage powerline corona discharge, commutatorgenerated noise in electrical motors, automobile and aircraft ignition noise, and switching-gear
noise. Ignition noise and switching noise, like atmospheric noise, are impulsive in character.
Impulse noise is the predominant type of noise in switched wireline channels, such as telephone
channels. For applications such as voice transmission, impulse noise is only an irritation
factor; however, it can be a serious source of error in applications involving transmission of
digital data.
Yet another important source of man-made noise is radio-frequency transmitters other than
the one of interest. Noise due to interfering transmitters is commonly referred to as radiofrequency interference (RFI). Radio-frequency interference is particularly troublesome in
situations in which a receiving antenna is subject to a high-density transmitter environment, as
in mobile communications in a large city.
Extraterrestrial noise sources include our sun and other hot heavenly bodies, such as stars.
Owing to its high temperature (6000 C) and relatively close proximity to the earth, the sun is an
intense, but fortunately localized source of radio energy that extends over a broad frequency
spectrum. Similarly, the stars are sources of wideband radio energy. Although much more
distant and hence less intense than the sun, nevertheless they are collectively an important
source of noise because of their vast numbers. Radio stars such as quasars and pulsars are also
intense sources of radio energy. Considered a signal source by radio astronomers, such stars are

viewed as another noise source by communications engineers. The frequency range of solar
and cosmic noise extends from a few megahertz to a few gigahertz.
Another source of interference in communication systems is multiple transmission paths.
These can result from reflection off buildings, the earth, airplanes, and ships or from refraction
by stratifications in the transmission medium. If the scattering mechanism results in numerous
reflected components, the received multipath signal is noiselike and is termed diffuse. If the
multipath signal component is composed of only one or two strong reflected rays, it is termed
specular. Finally, signal degradation in a communication system can occur because of random
changes in attenuation within the transmission medium. Such signal perturbations are referred
to as fading, although it should be noted that specular multipath also results in fading due to the
constructive and destructive interference of the received multiple signals.
Internal noise results from the random motion of charge carriers in electronic components.
It can be of three general types: the first, referred to as thermal noise, is caused by the random
motion of free electrons in a conductor or semiconductor excited by thermal agitation; the
second, called shot noise, is caused by the random arrival of discrete charge carriers in such
devices as thermionic tubes or semiconductor junction devices; the third, known as flicker
noise, is produced in semiconductors by a mechanism not well understood and is more severe
the lower the frequency. The first type of noise source, thermal noise, is modeled analytically in
Appendix A, and examples of system characterization using this model are given there.

1.2.2 Types of Transmission Channels
There are many types of transmission channels. We will discuss the characteristics, advantages,
and disadvantages of three common types: electromagnetic wave propagation channels, guided
electromagnetic wave channels, and optical channels. The characteristics of all three may be


1.2

Channel Characteristics


7

explained on the basis of electromagnetic wave propagation phenomena. However, the
characteristics and applications of each are different enough to warrant considering them
separately.
Electromagnetic Wave Propagation Channels

The possibility of the propagation of electromagnetic waves was predicted in 1864 by James
Clerk Maxwell (1831–1879), a Scottish mathematician who based his theory on the experimental work of Michael Faraday. Heinrich Hertz (1857–1894), a German physicist, carried out
experiments between 1886 and 1888 using a rapidly oscillating spark to produce electromagnetic waves, thereby experimentally proving Maxwell’s predictions. Therefore, by the latter part
of the nineteenth century, the physical basis for many modern inventions utilizing electromagnetic wave propagation—such as radio, television, and radar—was already established.
The basic physical principle involved is the coupling of electromagnetic energy into a
propagation medium, which can be free space or the atmosphere, by means of a radiation
element referred to as an antenna. Many different propagation modes are possible, depending
on the physical configuration of the antenna and the characteristics of the propagation
medium. The simplest case—which never occurs in practice—is propagation from a point
source in a medium that is infinite in extent. The propagating wave fronts (surfaces of constant
phase) in this case would be concentric spheres. Such a model might be used for the
propagation of electromagnetic energy from a distant spacecraft to earth. Another idealized
model, which approximates the propagation of radio waves from a commercial broadcast
antenna, is that of a conducting line perpendicular to an infinite conducting plane. These and
other idealized cases have been analyzed in books on electromagnetic theory. Our purpose is
not to summarize all the idealized models but to point out basic aspects of propagation
phenomena in practical channels.
Except for the case of propagation between two spacecraft in outer space, the intermediate medium between transmitter and receiver is never well approximated by free space.
Depending on the distance involved and the frequency of the radiated waveform, a terrestrial
communication link may depend on line-of-sight, ground-wave, or ionospheric skip-wave
propagation (see Figure 1.2). Table 1.2 lists frequency bands from 3 kHz to 3 Â 106 GHz,
along with letter designations for microwave bands used in radar among other applications
(WWII and current). Note that the frequency bands are given in decades; the VHF band has 10

times as much frequency space as the HF band. Table 1.3 shows some bands of particular
interest.4
General spectrum allocations are arrived at by international agreement. The present
system of frequency allocations is administered by the International Telecommunications
Union (ITU), which is responsible for the periodic convening of Administrative Radio
Conferences on a regional or a worldwide basis (WARC before 1995; WRC 1995 and after,
standing for World Radiocommunication Conference).5 The responsibility of the WRC is the
4

Bennet Z. Kobb, Spectrum Guide, 3rd ed., New Signals Press, Falls Church, VA, 1996. Bennet Z. Kobb, Wireless
Spectrum Finder, McGraw-Hill, New York, 2001.

5

See A. F. Inglis, Electronic Communications Handbook, McGraw-Hill, New York, 1988, Chapter 3. WARC-79,
WARC-84, and WARC-92, all held in Geneva, Switzerland, have been the last three held under the WARC
designation; WRC-95, WRC-97, WRC-2000 (Istanbul), WRC-03, and WRC-07 are those held under the WRC
designation.


8

Chapter 1

.

Introduction

Communication satellite


Ionosphere

Transionosphere
(LOS)
LOS

Skip wave
Ground wave

Earth

Figure 1.2

The various propagation modes for electromagnetic waves.
(LOS stands for line of sight)

Table 1.2 Frequency Bands with Designations
Letter
designation
Frequency band
3–30 kHz
30–300 kHz
300–3000 kHz
3–30 MHz
30–300 MHz
0.3–3 GHz
3–30 GHz
30–300 GHz
43–430 THz
430–750 THz

750–3000 THz

Name
Very low frequency (VLF)
Low frequency (LF)
Medium frequency (MF)
High frequency (HF)
Very high frequency (VHF)
Ultrahigh frequency (UHF)
Superhigh frequency (SHF)
Extremely high frequency (EHF)
Infrared ð0:7À7 mmÞ
Visible light ð0:4À0:7 mmÞ
Ultraviolet ð0:1À0:4 mmÞ

Microwave band
(GHz)

Old

0.5–1.0
1.0–2.0
2.0–3.0
3.0–4.0
4.0–6.0
6.0–8.0
8.0–10.0
10.0–12.4
12.4–18.0
18.0–20.0

20.0–26.5
26.5–40.0

L
S
S
C
C
X
X
Ku
K
K
Ka

Current
C
D
E
F
G
H
I
J
J
J
K
K

Note: kHz ¼ kilohertz ¼ hertz  103 ; MHz ¼ megahertz ¼ hertz  106 ; GHz ¼ gigahertz ¼ hertz  109 ; THz ¼

terahertz ¼ hertz  1012 ; mm ¼ micrometers ¼  10À6 meters.

drafting, revision, and adoption of the Radio Regulations which is an instrument for the
international management of the radio spectrum.6
6

Available on the Radio Regulations website: />