Academic Press Library in Signal Processing
Communications and Radar Signal Processing
- 1st Edition, Volume 2 - October 7, 2013
- Editors: Sergios Theodoridis, Fulvio Gini, Rama Chellappa, Nikolaos D. Sidiropoulos
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 9 6 5 0 0 - 4
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 9 7 2 2 4 - 8
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 te… Read more
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
- 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
Consultants
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
References
Chapter 2. Synchronization
Abstract
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
References
Chapter 3. Channel Estimation, Equalization, Precoding, and Tracking
Abstract
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
References
Chapter 4. Blind Signal Separation for Digital Communication Data
Abstract
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
References
Chapter 5. OFDM and Multicarrier Signal Processing
Abstract
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
References
Additional References
Chapter 6. Signal Processing for Vectored Multichannel VDSL
Abstract
2.06.1 Introduction
2.06.2 System model
2.06.3 Downstream transmission
2.06.4 Upstream transmission
2.06.5 Conclusion
References
Chapter 7. Distributed Detection and Estimation in Wireless Sensor Networks
Abstract
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
References
Chapter 8. Signal Processing and Optimal Resource Allocation for the Interference Channel
Abstract
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
References
Chapter 9. Advances in Spectrum Sensing and Cross-Layer Design for Cognitive Radio Networks
Abstract
Nomenclature
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
References
Section 2: Radar Signal Processing
Chapter 10. Introduction to the Radar Signal Processing Section
References
Chapter 11. Radar Clutter Modeling and Analysis
Abstract
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
References
Chapter 12. Space-Time Adaptive Processing for Radar
Abstract
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
Acronyms
References
Chapter 13. MIMO Radar with Widely Separated Antennas—From Concepts to Designs
Abstract
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
Notation
Appendix
References
Chapter 14. Optimal Radar Waveform Design
Abstract
Nomenclature
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
Glossary
Acronyms
References
Chapter 15. Multitarget Multisensor Tracking
Abstract
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
References
Chapter 16. Passive Bistatic Radar
Abstract
Nomenclature
Acknowledgments
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
Acronyms
Glossary
Supplementary data
Supplementary data
References
Websites
Chapter 17. Through-the-Wall Radar Imaging: Theory and Applications
Abstract
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
References
Chapter 18. Multi-Channel SAR for Ground Moving Target Indication
Abstract
Nomenclature
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
References
Chapter 19. Introduction to Inverse Synthetic Aperture Radar
Abstract
Acknowledgment
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
Acronyms
Supplementary data
Supplementary data
References
Chapter 20. SAR Interferometry and Tomography: Theory and Applications
Abstract
Acknowledgments
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
References
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
References
Chapter 22. Integrated Sensor Systems and Data Fusion for Homeland Protection
Abstract
Acknowledgments
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
References
Index
- Edition: 1
- Volume: 2
- Published: October 7, 2013
- Language: English
ST
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, GreeceRC
Rama Chellappa
Prof. Rama Chellappa received the B.E. (Hons.) degree from the University of Madras, India, in 1975 and the M.E. (Distinction) degree from Indian Institute of Science, Bangalore, in 1977. He received M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue University, West Lafayette, IN, in 1978 and 1981 respectively. Since 1991, he has been a Professor of Electrical Engineering and an affiliate Professor of Computer Science at University of Maryland, College Park. He is also affiliated with the Center for Automation Research (Director) and the Institute for Advanced Computer Studies (Permanent Member). In 2005, he was named a Minta Martin Professor of Engineering. Prior to joining the University of Maryland, he was an Assistant (1981-1986) and Associate Professor (1986-1991) and Director of the Signal and Image Processing Institute (1988-1990) at University of Southern California, Los Angeles.
Over the last 29 years, he has published numerous book chapters, peer-reviewed journal and conference papers. He has co-authored and edited books on MRFs, face and gait recognition and collected works on image processing and analysis. His current research interests are face and gait analysis, markerless motion capture, 3D modeling from video, image and video-based recognition and exploitation and hyper spectral processing.
Affiliations and expertise
University of Maryland, College Park, MD, USARead Academic Press Library in Signal Processing on ScienceDirect