Book description
This second volume of a five volume set, 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 communications and radar engineering
- Presents core principles in signal processing theory 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
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Introduction
- About the Editors
- Section Editors
- Authors Biography
-
Section 1: Signal Processing for Communications Modules
- Chapter 1. Introduction to Signal Processing for Communications
- Chapter 2. Synchronization
- Chapter 3. Channel Estimation, Equalization, Precoding, and Tracking
- Chapter 4. Blind Signal Separation for Digital Communication Data
-
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
-
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
- Chapter 9. Advances in Spectrum Sensing and Cross-Layer Design for Cognitive Radio Networks
-
Section 2: Radar Signal Processing
- Chapter 10. Introduction to the Radar Signal Processing Section
- Chapter 11. Radar Clutter Modeling and Analysis
- Chapter 12. Space-Time Adaptive Processing for Radar
-
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
- Chapter 21. Radar Polarimetry Basics and Selected Earth Remote Sensing Applications
-
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
Product information
- Title: Academic Press Library in Signal Processing
- Author(s):
- Release date: September 2013
- Publisher(s): Academic Press
- ISBN: 9780123972248
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