Cover image for Handbook on array processing and sensor networks
Title:
Handbook on array processing and sensor networks
Publication Information:
New Jersey : Wiley-IEEE Press, 2010
Physical Description:
xviii, 904 p. : ill. ; 26 cm.
ISBN:
9780470371763

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30000010226121 TK7872.D48 H39 2009 Open Access Book Book
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Summary

Summary

A handbook on recent advancements and the state of the art in array processing and sensor Networks

Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks.

Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks.

Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.


Author Notes

Simon Haykin, PhD, is a Distinguished University Professor at McMaster University, Hamilton, Ontario. K. J. Ray Liu is a Distinguished Scholar-Teacher at the University of Maryland, College Park. He is the recipient of numerous honors and awards including best paper awards from IEEE Signal Processing Society, IEEE Vehicular Technology Society, and EURASIP, as well as recognition from the University of Maryland, including Invention of the Year Award, Poole and Kent Senior Faculty Teaching Award, and Outstanding Faculty Research Award. Dr. Liu is a Fellow of the IEEE and AAAS.


Table of Contents

PrefaceSimon Haykin
1 Wavefields
1.1 Introduction
1.2 Harmonizable Stochastic Processes
1.3 Stochastic Wavefields
1.4 Wave Dispersion
1.5 Conclusions
1.6 Acknowledgements
2 Spatial Spectrum EstimationPetar Djuric
1 Introduction
2 Fundamentals
3 Temporal spectrum estimation
3.1 Non-parametric methods
4 Spatial spectrum estimation
4.1 The model
4.2 Non-parametric methods
4.3 Parametric methods
4.4 Estimation of the number of impinging signals
5 Final remarks
3 MIMO Radio PropagationTricia Willink
3.1 Introduction
3.2 The space-time propagation environment
3.3 Propagation models
3.4 Measured channel characteristics
3.5 Stationarity
3.6 Summary
4 Robustness Issues in Sensor Array ProcessingAlex Gershman
1 Robustness Issues in Sensor Array Processing
1.2 Direction-of-arrival estimation
1.3 Adaptive beamforming
1.4 Conclusions
5 Wireless Communication and Sensing in Multipath Environments Using Multi Antenna TransceiversAkbar Sayeed and Thiagarajan Sivanadyan
1 Overview
2 Multipath Wireless Channel Modeling in Time, Frequency and Space
3 MIMO Wireless Communication Systems
4 Active Wireless Sensing
Directions for Future Research
Concluding Remarks
6 Implicit Training and Array Processing for Digital Communications SystemsMauricio Lara and Aldo Orozco and Desmond McLernon
6.1 Introduction
6.2 Classification of Implicit Training Methods
6.3 IT-Based Estimation for a Single User
6.4 IT-Based Estimation for Multiple Users Exploiting Array Processing: Continuous Transmission
6.5 IT-Based Estimation for Multiple Users Exploiting Array Processing: Packet Transmission
6.6 Open Research Problems
6.7 References
7 Unitary Design of Radar Waveform Diversity SetsMichael Zoltowski and Robert Calderbank and Tariq RQureshi and Bill Moran
1 Introduction
2 2x2 Space-Time Diversity Waveform Design
3 4x4 Space-Time Diversity Waveform Design
4 Waveform Families Based on Kronecker Products
5 Introduction to Data Dependent Waveform Design
6 3x3 and 6x6 Waveform Scheduling
7 Summary
8 Acoustic Array Processing for Speech Enhancement(Markus Buck and Eberhard Hänsler and Mohamed Krini and Gerhard Schmidt and Tobias Wolff
8.1 Introduction
8.2 Signal Processing in the Subband Domain
8.3 Multi-Channel Echo Cancelation
8.4 Speaker Localization
8.5 Beamforming
8.6 Sensor Calibration
8.7 Postprocessing
8.8 Conclusions
References
9 Acoustic Beamforming for Hearing Aid ApplicationsSimon Doclo and Sharon Gannot and Marc Moonen and Ann Spriet
9.1 Introduction
9.2 Overview of Noise Reduction Techniques
9.3 Monaural Beamforming
9.4 Binaural Beamforming
9.5 Conclusion
10 Undetermined Blind Source Separation using Acoustic ArraysShoji Makino and Shoko Araki and Hiroshi Sawada and Stefan Winter
10.1 Introduction
10.2 Underdetermined Blind Source Separation of Speeches in Reverberant Environments
10.3 Sparseness of Speech Sources
10.4 Binary Mask Approach to Underdetermined BSS
10.5 MAP-Based Two-Stage Approach to Underdetermined BSS
10.6 Experimental Comparison with Binary Mask Approach and MAP-Based Two-Stage Approach
10.7 Concluding Remarks
References
Index
11 Array Processing in Astronomy (Douglas C.-JBock)
11.1 Introduction
11.2 Correlation Arrays
11.3 Aperture Plane Phased Arrays
11.4 Future Directions
11.5 Conclusion
12 Digital 3D/4D Ultrasound Imaging TechnologyStergios Stergiopoulos
12.1 Background
12.2 Next Generation 3D/4D Ultrasound Imaging Technology
12.3 Computing Architecture and Implementation Issues
12.4 An Experimental Planar Array Ultrasound Imaging System
12.5 Conclusion
Reference
13 Self-Localization of Sensor NetworksJosh NAsh and Randy Moses
Introduction
13.1 The Self-localization Problem
13.2 Algorithm Classifications
13.3 Measurement Types and Performance Bounds
13.4 Localization Algorithms
13.5 Relative and Transformation Error Decomposition
13.6 Conclusions
14 Multi-Target Tracking and Classification in Collaborative Sensor Networks via Sequential Monte CarloTom Vercauteren and Xiaodong Wang
1 Introduction
2 System Description and Problem Formulation
3 Sequential Monte Carlo (SMC) Methods
4 Joint Single Target Tracking And Classification
5 Multiple Target Tracking and Classification
6 Sensor Selection
7 Simulation Results
8 Conclusion
15 Energy-Efficient Decentralized EstimationJin-Jun Xiao and Shuguang Cui and Zhi-Quan Luo
1 Motivation and Introduction
2 Distributed Estimation: Digital Approaches
3 Distributed Estimation: Analog Approaches
4 Distributed Anti-jammer Sensing via Game Theory
5 Future research discussion
16 Sensor Data Fusion with Application to Multi-Target TrackingTKirubarajan and RTharmarasa and KPunithakumar and Yaakov Bar-Shalom
16.1 Introduction
16.2 Tracking Filters
16.3 Data Association
16.4 Out-of-Sequence Measurements
16.5 Results with Real Data
17 Distributed Algorithms in Sensor NetworksSoummya Kar and JoseÆ Moura and Usman AKhan
17.1 Introduction
17.2 Preliminaries
17.3 Distributed Detection
17.4 Consensus Algorithms
17.5 Zero-Dimension (Average) Consensus
17.6 Consensus in Higher Dimensions
17.7 Leader-Follower (type) Algorithms
17.8 Localization in Sensor Networks
17.9 Linear System of Equations: Distributed Algorithm
17.10 Conclusions
18 Cooperative Sensor CommunicationsAhmed Sadek and Weifeng Su and Ray Liu
18.1 Introduction
18.2 Cooperative Relay Protocols
18.3 Performance Analysis and Optimal Power Allocation
18.4 Energy Efficiency in Cooperative Sensor Networks
18.5 Experimental Results
18.6 Conclusions
19 Distributed Source CodingZixiang Xiong and Angelos Liveris and Yang Yang
19.1 Introduction
19.2 Theoretical background
19.3 Code designs
19.4 Applications
19.5 Conclusions
20 Network Coding for Sensor NetworksChristina Fragouli
I Introduction
II How can we implement network coding in a practical sensor network
III Data collection and the coupon collectors problem
IV Distributed storage and sensor network data persistence
V Decentralized operation and untuned radios
VI Broadcasting and multipath diversity
VII Network, channel and source coding
VIII Identity aware sensor networks
IX Discussion
21 Information-Theoretic Studies of Wireless Sensor NetworksLiang-Liang Xie and PR Kumar
1 Information-Theoretic Studies of Wireless Sensor Networks
1.2 Information-theoretic studies
1.3 Relay schemes
1.4 Wireless network coding
1.5 Concluding remarks
22 Distributed Adaptive Learning MechanismsAli Sayed and Federico SCattivelli
1 Introduction
2 Motivation
3 Incremental Adaptive Solutions
4 Diffusion Adaptive Solutions
5 Concluding Remarks
References
23 Routing for Statistical Inference in Sensor NetworksAAnandkumar and AEphremides and ASwami and Lang Tong
22.1 Introduction
22.2 Spatial Data Correlation
22.3 Statistical Inference of Markov Random Fields
22.4 Optimal Routing for Inference with Local Processing
22.5 Conclusion and Future Work 2
24 Spectrum Estimation in Cognitive RadiosBehrouz Farhang-Boroujeny
I Filter Bank Formulation of Spectral Estimators
II Polyphase Realization of Uniform Filter Banks
III Periodogram Spectral Estimator
IV Multitaper Spectral Estimator
V Filter Bank Spectral Estimator
VI Distributed Spectrum Sensing
VII Discussion
25 Nonparametric Techniques for Pedestrian Tracking in Wireless Local Area NetworksKostas Plataniotis and Azadeh Kushki
25.1 Introduction
25.2 WLAN Positioning Architectures
25.3 Signal Models
25.4 Zero-Memory Positioning
25.5 Dynamic Positioning Systems
25.6 Cognition & Feedback
25.7 Tracking Example
25.8 Conclusions
References
26 Reconfigurable Self-Activating Ion-Channel Based Biosensors: Signal Processing and Networking via the Theory of Global GamesVikram Krishnamurthy and Bruce Cornell
26.1 Introduction
26.2 Biosensors built of ion channels
26.3 Joint Input Excitation and Concentration Classification of Biosensor
26.4 Decentralized Deployment of Dense Network of Biosensors
26.5 Discussion and Extensions
27 Biochemical Transport Modeling, Estimation and Detection in Realistic EnvironmentsMathias Ortner and Arye Nehorai
1 Introduction
2 Physical, statistical and numerical models
3 Localizing the sources
4 Sequential Detection
5 Conclusion
28 Security and Privacy for Sensor NetworksWade Trappe and Peng Ning and Adrian Perrig
28.1 Introduction2
28.2 Security and Privacy Challenges
28.3 Ensuring the Integrity of the Measurement Process
28.4 Availability Attacks against the Wireless Link
28.5 Ensuring Privacy of Routing Contexts
28.6 Conclusion