Academic Press Library in Signal Processing

Academic Press Library in Signal Processing, 1st Edition

Communications and Radar Signal Processing

Academic Press Library in Signal Processing, 1st Edition,Sergios Theodoridis,Rama Chellappa,ISBN9780123965004

Theodoridis  &   Chellappa   

Academic Press




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Quickly grasp and understand the key principles in Communications and Radar Engineering from world-wide leading experts

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Key Features

  • Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing
  • Presents core principles and shows their application
  • Reference content on core principles, technologies, algorithms and applications
  • Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
  • Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic


This second volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in communications and radar engineering.

With this reference source you will:

  • Quickly grasp a new area of research 
  • Understand the underlying principles of a topic and its application
  • Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved


PhD students

Post Docs

R&D engineers in signal processing and wireless and mobile communications


Sergios Theodoridis

Sergios Theodoridis acquired a Physics degree with honors from the University of Athens, Greece in 1973 and a MSc and a Ph.D. degree in Signal Processing and Communications from the University of Birmingham, UK in 1975 and 1978 respectively. Since 1995 he has been a Professor with the Department of Informatics and Communications at the University of Athens.

Affiliations and Expertise

Department of Informatics and Telecommunications, University of Athens, Greece

View additional works by Sergios Theodoridis

Rama Chellappa

Affiliations and Expertise

University of Maryland, College Park, MD, USA

View additional works by Rama Chellappa

Academic Press Library in Signal Processing, 1st Edition


Signal Processing at Your Fingertips!

About the Editors

Section Editors

Section 1

Section 2

Authors Biography

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 11

Chapter 12

Chapter 13

Chapter 14

Chapter 15

Chapter 16

Chapter 17

Chapter 18

Chapter 19

Chapter 20

Chapter 21

Chapter 22

Section 1: Signal Processing for Communications Modules

Chapter 1. Introduction to Signal Processing for Communications

2.01.1 Some history

2.01.2 Contents and contributors

2.01.3 Outlook


Chapter 2. Synchronization


2.02.1 Introduction

2.02.2 Synchronization in flat fading channel

2.02.3 Synchronization for non-flat fading channels

2.02.4 Multiuser synchronization

2.02.5 Network synchronization

2.02.6 Conclusion


Chapter 3. Channel Estimation, Equalization, Precoding, and Tracking


2.03.1 Introduction

2.03.2 Channel models

2.03.3 Channel estimation

2.03.4 Equalization

2.03.5 Precoding

2.03.6 Tracking

2.03.7 Conclusion


Chapter 4. Blind Signal Separation for Digital Communication Data


2.04.1 Introduction

2.04.2 Signals

2.04.3 Instantaneous mixtures

2.04.4 Convolutive mixtures: case of sparse channels

2.04.5 Convolutive mixtures

2.04.6 Simulation

2.04.7 Extensions and further readings

2.04.8 Conclusion


Chapter 5. OFDM and Multicarrier Signal Processing


2.05.1 Introduction

2.05.2 Mathematical background

2.05.3 Single carrier background

2.05.4 The path to OFDM

2.05.5 OFDM in frequency-selective multipath channels

2.05.6 A vector-matrix representation for OFDM

2.05.7 Symbol error rate (SER) performance analysis

2.05.8 Coded—OFDM

2.05.9 Linearly precoded-OFDM (LP-OFDM)

2.05.10 Multiuser multicarrier systems

2.05.11 OFDM and multicarrier communications in nonlinear systems

2.05.12 Estimation of LTI channels for OFDM

2.05.13 OFDM propagation in rapidly time-varying channels

2.05.14 Design of OFDM systems: practical guidelines and commercial standards

2.05.15 OFDM time and frequency synchronization

2.05.16 Capacity for OFDM transmissions: bit and power-loading

2.05.17 Further research topics and directions


Additional References

Chapter 6. Signal Processing for Vectored Multichannel VDSL


2.06.1 Introduction

2.06.2 System model

2.06.3 Downstream transmission

2.06.4 Upstream transmission

2.06.5 Conclusion


Chapter 7. Distributed Detection and Estimation in Wireless Sensor Networks


2.07.1 Introduction

2.07.2 General framework

2.07.3 Graphical models and consensus algorithm

2.07.4 Distributed estimation

2.07.5 Distributed detection

2.07.6 Beyond consensus: distributed projection algorithms

2.07.7 Minimum energy consensus

2.07.8 Matching communication network topology to statistical dependency graph

2.07.9 Conclusions and further developments

Appendix A


Chapter 8. Signal Processing and Optimal Resource Allocation for the Interference Channel


2.08.1 Introduction

2.08.2 Information-theoretic results

2.08.3 Optimal resource allocation in interference channel

2.08.4 Distributed resource allocation in interference channel

2.08.5 Resource allocation via interference alignment


Chapter 9. Advances in Spectrum Sensing and Cross-Layer Design for Cognitive Radio Networks



2.09.1 Introduction

2.09.2 Sensing at the physical layer

2.09.3 Sensing at the MAC layer

2.09.4 CR Sensing and cross-layer design

2.09.5 Conclusion


Section 2: Radar Signal Processing

Chapter 10. Introduction to the Radar Signal Processing Section


Chapter 11. Radar Clutter Modeling and Analysis


2.11.1 Introduction

2.11.2 Clutter modeling

2.11.3 Radar clutter analysis

2.11.4 Simulation methods

2.11.5 Use of clutter models in radar design and analysis

2.11.6 Conclusions


Chapter 12. Space-Time Adaptive Processing for Radar


2.12.1 Introduction

2.12.2 Basic concepts

2.12.3 Signal models

2.12.4 Adaptive filter implementations

2.12.5 Application

2.12.6 Challenges

2.12.7 Implementation

2.12.8 STAP data collection programs

2.12.9 Summary

Symbols and notation



Chapter 13. MIMO Radar with Widely Separated Antennas—From Concepts to Designs


2.13.1 Introduction

2.13.2 Coherent MIMO radar

2.13.3 Noncoherent MIMO radar

2.13.4 Performance and complexity analysis for coherent and noncoherent MIMO radar

2.13.5 Diversity gain for MIMO radar Neyman-Pearson signal detection

2.13.6 Phase synchronization for coherent MIMO radar

2.13.7 Waveform design for MIMO radar

2.13.8 Summary




Chapter 14. Optimal Radar Waveform Design



2.14.1 Introduction

2.14.2 Optimum transmit-receiver design for the additive colored noise case: detection

2.14.3 Optimum transmit-receiver design for the clutter case: detection

2.14.4 Optimizing the transmit-receive functions for target identification

2.14.5 Constrained optimum transmit-receiver radar

2.14.6 Open issues and problems

2.14.7 Conclusions and future trends




Chapter 15. Multitarget Multisensor Tracking


3.15.1 Introduction

3.15.2 Formulation of multisensor-multitarget tracking problems

3.15.3 Filters

3.15.4 Filter initialization

3.15.5 Data association

3.15.6 Multitarget tracking algorithms

3.15.7 Architectures of multisensor-multitarget tracking

3.15.8 Centralized tracking

3.15.9 Distributed tracking

3.15.10 Performance evaluation

3.15.11 Simulations—a multiple closely-spaced target scenario

3.15.12 Summary


Chapter 16. Passive Bistatic Radar




2.16.1 Introduction

2.16.2 Bistatic radar

2.16.3 Bistatic radar equation

2.16.4 Target signatures

2.16.5 Bistatic radar clutter

2.16.6 PBR waveforms

2.16.7 The signal and interference environment [43]

2.16.8 Applications

2.16.9 Open issues and problems

2.16.10 Conclusions and future trends



Supplementary data

Supplementary data



Chapter 17. Through-the-Wall Radar Imaging: Theory and Applications


2.17.1 Introduction

2.17.2 Wall clutter mitigation

2.17.3 Multipath exploitation

2.17.4 Change detection based MTI approach

2.17.5 Compressive sensing approach to moving target indication for urban sensing

2.17.6 Applications

2.17.7 Open issues and problems

2.17.8 Data sets

2.17.9 Conclusion


Chapter 18. Multi-Channel SAR for Ground Moving Target Indication



2.18.1 Introduction

2.18.2 Synthetic aperture radar principle

2.18.3 Moving point target signal model

2.18.4 Effects on SAR imagery

2.18.5 Classical dual-channel techniques

2.18.6 General GMTI processing chain

2.18.7 Doppler parameter estimation: basic methods

2.18.8 Space-time adaptive processing

2.18.9 Conclusion and future trends


Chapter 19. Introduction to Inverse Synthetic Aperture Radar



2.19.1 Introduction

2.19.2 Historical overview

2.19.3 High resolution radar and radar imaging

2.19.4 Inverse synthetic aperture radar

2.19.5 ISAR image evaluation

2.19.6 Examples of ISAR images

2.19.7 Image autofocus

2.19.8 Time-windowing

2.19.9 Image scaling

2.19.10 Time-frequency image formation

2.19.11 Polarimetric ISAR (Pol-ISAR)

2.19.12 Bistatic radar imaging

2.19.13 Conclusion


Supplementary data

Supplementary data


Chapter 20. SAR Interferometry and Tomography: Theory and Applications



2.20.1 Introduction

2.20.2 Basics concepts in SAR imaging and SAR interferometry

2.20.3 SAR interferometry

2.20.4 Multibaseline SAR interferometry

2.20.5 Multipass interferometry

2.20.6 SAR tomography

2.20.7 4D Imaging

2.20.8 Conclusion


Chapter 21. Radar Polarimetry Basics and Selected Earth Remote Sensing Applications

2.21.1 Introduction

2.21.2 SAR polarimetry basics

2.21.3 Advanced polarimetric decomposition techniques and some of their applications

2.21.4 Selected topics in multidimensional polarimetric SAR signal processing

2.21.5 Conclusion and trends


Chapter 22. Integrated Sensor Systems and Data Fusion for Homeland Protection



2.22.1 Introduction

2.22.2 The Problem of homeland protection

2.22.3 Definitions and background

2.22.4 The information sources

2.22.5 Homogeneous sensor networks

2.22.6 Real study cases: novel approaches to sensor networks

2.22.7 Heterogeneous multi-sensor network management

2.22.8 Border control problem via electronic fence

2.22.9 Estimation and forecasting of an epidemic

2.22.10 Conclusions

List of Acronyms



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