Introduction to Communication Systems

Höfundur: Upamanyu Madhow (Útgáfa: 1)
Introduction to Communication Systems

Kaup valmöguleikar

Showcasing the essential principles behind modern communication systems, this accessible undergraduate textbook provides a solid introduction to the foundations of communication theory. Carefully selected topics introduce students to the most important and fundamental concepts, giving students a focused, in-depth understanding of core material, and preparing them for more advanced study. Abstract concepts are introduced to students 'just in time' and reinforced by nearly 200 end-of-chapter exercises, alongside numerous MATLAB code fragments, software problems and practical lab exercises, firmly linking the underlying theory to real-world problems, and providing additional hands-on experience.

Finally, an accessible lecture-style organisation makes it easy for students to navigate to key passages, and quickly identify the most relevant material. Containing material suitable for a one- or two-semester course, and accompanied online by a password-protected solutions manual and supporting instructor resources, this is the perfect introductory textbook for undergraduate students studying electrical and computer engineering.

Nánar um bókina

Útgefandi
Cambridge University Press
ISBN
9781316053768
Print ISBN
9781107022775
Format
ePub
Útgáfa
1
Höfundar
Upamanyu Madhow
Tungumál
English
Útgefið
2014-11-24
Prent takmörkun á líftíma
10
Prent takmörkun
5
Afritunar takmörkun
5

Kaflar

  • Cover
  • Half-title page
  • Title page
  • Copyright page
  • Dedication
  • Contents
  • Preface
  • Acknowledgements
  • 1. Introduction
  • Chapter plan
  • 1.1 Analog or digital?
  • 1.1.1 Analog communication
  • 1.1.2 Digital communication
  • 1.1.3 Why digital?
  • 1.1.4 Why analog design remains important
  • 1.2 A technology perspective
  • 1.3 The scope of this textbook
  • 1.4 Why study communication systems?
  • 1.5 Concept summary
  • 1.6 Notes
  • 2. Signals and systems
  • Chapter plan
  • 2.1 Complex numbers
  • 2.2 Signals
  • 2.3 Linear time-invariant systems
  • 2.3.1 Discrete-time convolution
  • 2.3.2 Multi-rate systems
  • 2.4 Fourier series
  • 2.4.1 Fourier-series properties and applications
  • 2.5 The Fourier transform
  • 2.5.1 Fourier-transform properties
  • 2.5.2 Numerical computation using DFT
  • 2.6 Energy spectral density and bandwidth
  • 2.7 Baseband and passband signals
  • 2.8 The structure of a passband signal
  • 2.8.1 Time-domain relationships
  • 2.8.2 Frequency-domain relationships
  • 2.8.3 The complex-baseband equivalent of passband filtering
  • 2.8.4 General comments on complex baseband
  • 2.9 Wireless-channel modeling in complex baseband
  • 2.10 Concept summary
  • 2.11 Notes
  • 2.12 Problems
  • Software Lab 2.1: signals and systems computations using MATLAB
  • Software Lab 2.2: modeling carrier-phase uncertainty
  • Software Lab 2.3: modeling a lamppost-based broadband network
  • 3. Analog communication techniques
  • Chapter plan
  • 3.1 Terminology and notation
  • 3.2 Amplitude modulation
  • 3.2.1 Double-sideband (DSB) suppressed carrier (SC)
  • 3.2.2 Conventional AM
  • 3.2.3 Single-sideband modulation (SSB)
  • 3.2.4 Vestigial-sideband (VSB) modulation
  • 3.2.5 Quadrature amplitude modulation
  • 3.2.6 Concept synthesis for AM
  • 3.3 Angle modulation
  • 3.3.1 Limiter–discriminator demodulation
  • 3.3.2 FM spectrum
  • 3.3.3 Concept synthesis for FM
  • 3.4 The superheterodyne receiver
  • 3.5 The phase-locked loop
  • 3.5.1 PLL applications
  • 3.5.2 A mathematical model for the PLL
  • 3.5.3 PLL analysis
  • 3.6 Some analog communication systems
  • 3.6.1 FM radio
  • 3.6.2 Analog broadcast TV
  • 3.7 Concept summary
  • 3.8 Notes
  • 3.9 Problems
  • Software Lab 3.1: amplitude modulation and envelope detection
  • Software Lab 3.2: frequency-modulation basics
  • 4. Digital modulation
  • Chapter plan
  • 4.1 Signal constellations
  • 4.2 Bandwidth occupancy
  • 4.2.1 Power spectral density
  • 4.2.2 The PSD of a linearly modulated signal
  • 4.3 Design for bandlimited channels
  • 4.3.1 Nyquist’s sampling theorem and the sinc pulse
  • 4.3.2 The Nyquist criterion for ISI avoidance
  • 4.3.3 Bandwidth efficiency
  • 4.3.4 Power–bandwidth tradeoffs: a sneak preview
  • 4.3.5 The Nyquist criterion at the link level
  • 4.3.6 Linear modulation as a building block
  • 4.4 Orthogonal and biorthogonal modulation
  • 4.5 Proofs of the Nyquist theorems
  • 4.6 Concept summary
  • 4.7 Notes
  • 4.8 Problems
  • Software Lab 4.1: linear modulation over a noiseless ideal channel
  • Appendix 4.A Power spectral density of a linearly modulated signal
  • Appendix 4.B Simulation resource: bandlimited pulses and upsampling
  • 5. Probability and random processes
  • Chapter plan
  • 5.1 Probability basics
  • 5.2 Random variables
  • 5.3 Multiple random variables, or random vectors
  • 5.4 Functions of random variables
  • 5.5 Expectation
  • 5.5.1 Expectation for random vectors
  • 5.6 Gaussian random variables
  • 5.6.1 Joint Gaussianity
  • 5.7 Random processes
  • 5.7.1 Running example: a sinusoid with random amplitude and phase
  • 5.7.2 Basic definitions
  • 5.7.3 Second-order statistics
  • 5.7.4 Wide-sense stationarity and stationarity
  • 5.7.5 Power spectral density
  • 5.7.6 Gaussian random processes
  • 5.8 Noise modeling
  • 5.9 Linear operations on random processes
  • 5.9.1 Filtering
  • 5.9.2 Correlation
  • 5.10 Concept summary
  • 5.11 Notes
  • 5.12 Problems
  • Appendix 5.A Q function bounds and asymptotics
  • Appendix 5.B Approximations using limit theorems
  • Appendix 5.C Noise mechanisms
  • Appendix 5.D The structure of passband random processes
  • Appendix 5.D.1 Baseband representation of passband white noise
  • Appendix 5.E SNR computations for analog modulation
  • Appendix 5.E.1 Noise model and SNR benchmark
  • Appendix 5.E.2 SNR for amplitude modulation
  • Appendix 5.E.3 SNR for angle modulation
  • 6. Optimal demodulation
  • Chapter plan
  • 6.1 Hypothesis testing
  • 6.1.1 Error probabilities
  • 6.1.2 ML and MAP decision rules
  • 6.1.3 Soft decisions
  • 6.2 Signal-space concepts
  • 6.2.1 Representing signals as vectors
  • 6.2.2 Modeling WGN in signal space
  • 6.2.3 Hypothesis testing in signal space
  • 6.2.4 Optimal reception in AWGN
  • 6.2.5 Geometry of the ML decision rule
  • 6.3 Performance analysis of ML reception
  • 6.3.1 The geometry of errors
  • 6.3.2 Performance with binary signaling
  • 6.3.3 M-ary signaling: scale-invariance and SNR
  • 6.3.4 Performance analysis for M-ary signaling
  • 6.3.5 Performance analysis for M-ary orthogonal modulation
  • 6.4 Bit error probability
  • 6.5 Link-budget analysis
  • 6.6 Concept summary
  • 6.7 Notes
  • 6.8 Problems
  • Software Lab 6.1: linear modulation with two-dimensional constellations
  • Software Lab 6.2: modeling and performance evaluation on a wireless fading channel
  • Appendix 6.A The irrelevance of the component orthogonal to the signal space
  • 7. Channel coding
  • Chapter plan
  • 7.1 Motivation
  • 7.2 Model for channel coding
  • 7.3 Shannon’s promise
  • 7.3.1 Design implications of Shannon limits
  • 7.4 Introducing linear codes
  • 7.5 Soft decisions and belief propagation
  • 7.6 Concept summary
  • 7.7 Notes
  • 7.8 Problems
  • Software Lab 7.1: belief propagation
  • 8. Dispersive channels and MIMO
  • Chapter plan
  • 8.1 The single-carrier system model
  • 8.1.1 The signal model
  • 8.1.2 The noise model and SNR
  • 8.2 Linear equalization
  • 8.2.1 Adaptive MMSE equalization
  • 8.2.2 Geometric interpretation and analytical computations
  • 8.3 Orthogonal frequency-division multiplexing
  • 8.3.1 DSP-centric implementation
  • 8.4 MIMO
  • 8.4.1 The linear array
  • 8.4.2 Beamsteering
  • 8.4.3 Rich scattering and MIMO-OFDM
  • 8.4.4 Diversity
  • 8.4.5 Spatial multiplexing
  • 8.5 Concept summary
  • 8.6 Notes
  • 8.7 Problems
  • Software Lab 8.1: introduction to equalization in single-carrier systems
  • Software Lab 8.2: simplified simulation model for an OFDM link
  • Software Lab 8.3: MIMO signal processing
  • Epilogue
  • References
  • Index