Academic Press Library in Signal Processing

Academic Press Library in Signal Processing

Communications and Radar Signal Processing

1st Edition - September 5, 2013

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  • Editors-in-Chief: Sergios Theodoridis, Rama Chellappa
  • eBook ISBN: 9780123972248

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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

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


PhD students

Post Docs

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


Table of Contents

  • Introduction

    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



Product details

  • No. of pages: 1350
  • Language: English
  • Copyright: © Academic Press 2013
  • Published: September 5, 2013
  • Imprint: Academic Press
  • eBook ISBN: 9780123972248

About the Editors in Chief

Sergios Theodoridis

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

Rama Chellappa

Affiliations and Expertise

University of Maryland, College Park, MD, USA

About the Editors

Fulvio Gini

Nikolaos Sidiropoulos

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