通信系统

BACKGROUND AND PREVIEW

1.The Communicatin Process

2.Primary Communication Resources

3.Sources of Information

4.Communication Networks

5.Communication Channels

6.Modulation Process

7.Analog and Digital Types of Communication

8.Shannon's Information Capacity Theorem

9.A Digital Communication Problem

10.Historical Notes

Notes and References

CHAPTER 1 Random Processes

1.1 Introduction

1.2 Mathematical Definition of a Random Process

1.3 Stationary Processes

1.4 Mean,Correlation,and Covariance Functions

1.5 Ergodic Processes

1.6 Transmission of a Random Process Through a Linear Time-Invariant Filter

1.7 Power Spectral Density

1.8 Gaussian Process

1.9 Noise

1.10 Narrowband Noise

1.11 Representation of Narrowband Noise in Terms of In-phase and Quadrature Components

1.12 Representation of Narrowband Noise in Terms of Envelope and Phase Components

1.13 Sine Wave Plus Narrowband Noise

1.14 Computer Experiments:Flat-Fading Channel

1.15 Summary and Discussion

Notes and References

Problems

CHAPTER 2 Continuous-Wave Modulation

2.1 Introduction

2.2 Amplitude Modulation

2.3 Linear Modulation Schemes

2.4 Frequency Translation

2.5 Frequency-Division Multiplexing

2.6 Angle Modulation

2.7 Frequency Modulation

2.8 Nonlinear Effects in FM Systems

2.9 Superheterodyne Receiver

2.10 Noise in CW Modulation Systems

2.11 Noise in Linear Receivers using Coherent Detection

2.12 Noise in AM Receivers using Envelope Detection

2.13 Noise in FM Receivers

2.14 Computer Experiments:Phase-Locked Loop

2.15 Summary and Discussion

Notes and References

Problems

CHAPTER 3 Pulse Modulation

3.1 Introduction

3.2 Sampling Process

3.3 Pulse-Amplitude Modulation

3.4 Other Forms of Pulse Modulation

3.5 Bandwidth-Noise Trade-off

3.6 Quantization Process

3.7 Pulse-Code Modulation

3.8 Noise Considerations in PCM Systems

3.9 Time-Division Multiplexing

3.10 Digital Multiplexers

3.11 Virtues,Limitations,and Modifications of PCM

3.12 Delta Modulation

3.13 Linear Prediction

3.14 Differential Pulse-Code Modulation

3.15 Adaptive Differential Pulse-Code Modulation

3.16 Computer Experiment:Adaptive Delta Modulation

3.17 MPEG Audio Coding Standard

3.18 Summary and Discussion

Notes and References

Problems

CHAPTER 4 Baseband Pulse Transmission

4.1 Introduction

4.2 Matched Filter

4.3 Error Rate Due to Noise

4.4 Intersymbol Interference

4.5 Nyquist's Criterion for Distortionless Baseband Binary Transmission

4.6 Correlative-Level Coding

4.7 Baseband M-ary PAM Transmission

4.8 Digital Subscriber Lines

4.9 Optimum Linear Receiver

4.10 Adaptive Equzlization

4.11 Computer Experiments:Eye Patterns

4.12 Summary and Discussion

Notes and References

Problems

CHAPTER 5 Signal-Space Analysis

5.1 Introduction

5.2 Geometric Representation of Signals

5.3 Conversion of the Continuous AWGN Channel into a Vector Channel

5.4 Likelisood Functions

5.5 Coherent Detection of Signals in Noise:Maximum Likelihood Decoding

5.6 Correlation Receiver

5.7 Probability of Error

5.8 Summary and Discussion

Notes and References

Problems

CHAPTER 6 Passband Digital Transmission

6.1 Introduction

6.2 Passband Transmission Model

6.3 Coherent Phase-Shift Keying

6.4 Hybrid Amplitued/Phase Modulation Schemes

6.5 Coherent Frequency-Shift Keying

6.6 Detection of Signals with Unknown Phase

6.7 Noncoherent Orthogonal Modulation

6.8 Noncoherent Binary Frequency-Shift Keying

6.9 Differential Phase-Shift Keying

6.10 Comparison of Digital Modulation Schemes Using a Single Carrier

6.11 Voiceband Modems

6.12 Multichannel Modulation

6.13 Discrete Multitone

6.14 Synchronization

6.15 Computer Experiments:Carrier Recovery and Symbol Timing

6.16 Summary and Discussion

Notes and References

Problems

CHAPTER 7 Spread-Spectrum Modulation

7.1 Introduction

7.2 Pseudo-Noise Sequences

7.3 A Notion of Spread Spectrum

7.4 Direct-Sequence Spread Spectrum with Coherent Binary Phase-Shift Keying

7.5 Signal-Space Dimensionality and Processing Gain

7.6 Probability of Error

7.7 Frequency-Hop Spread Spectrum

7.8 Computer Experiments:Maximal-Length and Gold Codes

7.9 Summary and Discussion

Notes and References

Problems

CHAPTER 8 Multiuser Radio Communications

8.1 Introduction

8.2 Multiple-Access Techniques

8.3 Satellite Communications

8.4 Radio Link Analysis

8.5 Wireless Communications

8.6 Statistical Characterization of Multipath Channels

8.7 Binary Signaling over a Rayleigh Fading Channel

8.8 TDMA and CDMA Wireless Communication Systems

8.9 Source Coding of Speech for Wireless Communications

8.10 Adaptive Antenna Arrays for Wireless Communications

8.11 Summary and Discussion

Notes and References

Problems

CHAPTER 9 Fundamental Limits in Information Theory

9.1 Introduction

9.2 Uncertainty,Information,and Entropy

9.3 Source-Coding Theorem

9.4 Data Compaction

9.5 Discrete Memoryless Channels

9.6 Mutual Information

9.7 Channel Capacity

9.8 Channel-Coding Theorem

9.9 Differential Entropy and Mutual Information for Continuous Ensembles

9.10 Information Capacity Theorem

9.11 Implications of the Information Capacity Theorem

9.12 Information Capacity of Colored Noise Channel

9.13 Rate Distortion Theory

9.14 Data Compression

9.15 Summary and Discussion

Notes and References

Problems

CHAPTER 10 Error-Control Coding

10.1 Introduction

10.2 Discrete-Memoryless Channels

10.3 Linear Block Codes

10.4 Cyclic Codes

10.5 Convolutional Codes

10.6 Maximum Likelihood Decoding of Convolutional Codes

10.7 Trellis-Coded Modulation

10.8 Turbo Codes

10.9 Computer Experiment:Trubo Decoding

10.10 Low-Density Parity-Check Codes

10.11 Irregular Codes

10.12 Summary and Discussion

Notes and References

Problems

APPENDIX 1 Probability Theory

APPENDIX 2 Representation of Signals and Systems

APPENDIX 3 Bessel Functions

APPENDIX 4 Confluent Hypergeometric Functions

APPENDIX 5 Cryptography

APPENDIX 6 Tables

GLOSSARY

BIBLIOGRAPHY

INDEX

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