Cover image for Wideband Beamforming : Concepts and Techniques.
Wideband Beamforming : Concepts and Techniques.
Title:
Wideband Beamforming : Concepts and Techniques.
Author:
Liu, Wei.
ISBN:
9780470661185
Personal Author:
Edition:
2nd ed.
Physical Description:
1 online resource (304 pages)
Series:
Wireless Communications and Mobile Computing Ser. ; v.17

Wireless Communications and Mobile Computing Ser.
Contents:
Wideband Beamforming -- Contents -- About the Series Editors -- Preface -- 1 Introduction -- 1.1 Array Signal Processing -- 1.2 Narrowband Beamforming -- 1.3 Wideband Beamforming -- 1.4 Wideband Beam Steering -- 1.4.1 Beam Steering for Narrowband Arrays -- 1.4.2 Beam Steering for Wideband Arrays -- 1.4.3 A Unified Interpretation -- 1.5 Summary -- 2 Adaptive Wideband Beamforming -- 2.1 Reference Signal-Based Beamformer -- 2.1.1 Least Mean Square Algorithm -- 2.1.2 Normalized Least Mean Square Algorithm -- 2.1.3 Recursive Least Squares Algorithm -- 2.1.4 Comparison of Computational Complexities -- 2.1.5 Frequency-Domain and Subband Adaptive Algorithms -- 2.1.6 Simulations -- 2.2 Linearly Constrained Minimum Variance Beamforming -- 2.2.1 A Simple Formulation of Constraints -- 2.2.2 Optimum Solution to the LCMV Problem -- 2.2.3 Frost's Algorithm for LCMV Beamforming -- 2.2.4 Simulations -- 2.3 Constraints Design for LCMV Beamforming -- 2.3.1 Eigenvector Constraint Design -- 2.3.2 Design Example -- 2.3.3 Application to Wideband DOA Estimation -- 2.4 Generalized Sidelobe Canceller -- 2.4.1 GSC Structure -- 2.4.2 GSC with Tapped Delay-Lines -- 2.4.3 Blocking Matrix Design -- 2.4.4 Simulations -- 2.5 Other Minimum Variance Beamformers -- 2.5.1 Soft Constrained Minimum Variance Beamformer -- 2.5.2 Correlation Constrained Minimum Variance Beamformer -- 2.6 Robust Adaptive Beamforming -- 2.6.1 Spatially Extended Constraints -- 2.6.2 Norm-Restrained Approaches -- 2.7 Summary -- 3 Subband Adaptive Beamforming -- 3.1 Fundamentals of Filter Banks -- 3.1.1 Basic Multirate Operations -- 3.1.2 Perfect Reconstruction Condition for Filter Banks -- 3.1.3 Oversampled Modulated Filter Banks -- 3.2 Subband Adaptive Filtering -- 3.3 General Subband Adaptive Beamforming -- 3.3.1 Reference Signal Based Beamformer -- 3.3.2 Generalized Sidelobe Canceller.

3.3.3 Reconstruction of the Fullband Beamformer -- 3.3.4 Simulations -- 3.4 Subband Adaptive GSC -- 3.4.1 Structure -- 3.4.2 Analysis of the Computational Complexity -- 3.4.3 Reconstruction of the Fullband Beamformer -- 3.4.4 Simulations -- 3.5 Temporally/Spatially Subband-Selective Beamforming -- 3.5.1 Partially Adaptive GSC -- 3.5.2 Temporally/Spatially Subband-Selective Blocking Matrix -- 3.5.3 Temporally/Spatially Subband-Selective Transformation Matrix -- 3.5.4 Application to Subband Adaptive GSC -- 3.5.5 Extension to the General Subband Adaptive Beamforming Structure -- 3.5.6 Simulations -- 3.6 Frequency-Domain Adaptive Beamforming -- 3.6.1 Frequency-Domain Formulation -- 3.6.2 Constrained Frequency-Domain Adaptive Algorithm -- 3.6.3 Frequency-Domain GSC -- 3.6.4 Simulations -- 3.7 Transform-Domain Adaptive Beamforming -- 3.7.1 Transform-Domain GSC -- 3.7.2 Subband-Selective Transform-Domain GSC -- 3.7.3 Simulations -- 3.8 Summary -- 4 Design of Fixed Wideband Beamformers -- 4.1 Iterative Optimization -- 4.1.1 Traditional Methods -- 4.1.2 Convex Optimization -- 4.2 The Least Squares Approach -- 4.2.1 Standard Formulation -- 4.2.2 Constrained Least Squares -- 4.3 The Eigenfilter Approach -- 4.3.1 Standard Approach -- 4.3.2 Maximum Energy -- 4.3.3 Total Least Squares -- 4.4 Summary -- 5 Frequency Invariant Beamforming -- 5.1 Introduction -- 5.2 Design Based on Multi-Dimensional Inverse Fourier Transform -- 5.2.1 Continuous Sensor and Signals -- 5.2.2 Discrete Sensors and Signals -- 5.2.3 Design Examples -- 5.2.4 Further Generalization to the FIB Design -- 5.3 Subband Design of Frequency Invariant Beamformers -- 5.3.1 First Implementation -- 5.3.2 Second Implementation-Scaled Aperture -- 5.3.3 Design Examples -- 5.4 Frequency Invariant Beamforming for Circular Arrays -- 5.4.1 Phase Mode Processing -- 5.4.2 FIB Design -- 5.4.3 Design Example.

5.5 Direct Optimization for Frequency Invariant Beamforming -- 5.5.1 Convex Optimization -- 5.5.2 Least Squares -- 5.5.3 Eigenfilter -- 5.6 Beamspace Adaptive Wideband Beamforming -- 5.6.1 Structure -- 5.6.2 Analysis of the Beamspace Adaptive Method -- 5.6.3 Design of Independent FIBs -- 5.6.4 Simulations -- 5.7 Summary -- 6 Blind Wideband Beamforming -- 6.1 Blind Source Separation -- 6.1.1 Introduction -- 6.1.2 A Blind Source Extraction Example -- 6.2 Blind Wideband Beamforming -- 6.3 Blind Beamforming Based on Frequency Invariant Transformation -- 6.3.1 Structure -- 6.3.2 The Algorithm -- 6.3.3 Simulations -- 6.4 Summary -- 7 Wideband Beamforming with Sensor Delay-Lines -- 7.1 Sensor Delay-Line Based Structures -- 7.1.1 Introduction -- 7.1.2 Wideband Response of the SDL-Based Structure -- 7.2 Frequency Invariant Beamforming -- 7.2.1 2-D Arrays -- 7.2.2 3-D Arrays -- 7.3 Adaptive Beamforming -- 7.3.1 Reference Signal Based Beamformer -- 7.3.2 Linearly Constrained Minimum Variance Beamformer -- 7.3.3 Discussions -- 7.3.4 Simulations -- 7.4 Beamspace Adaptive Beamforming -- 7.4.1 Structure -- 7.4.2 Simulations -- 7.5 Summary -- 8 Wideband Beamforming for Multipath Signals -- 8.1 The Wideband Multipath Problem -- 8.2 Approach Based on a Narrowband Beamformer -- 8.2.1 Structure -- 8.2.2 Simulations -- 8.3 Approach Based on Blind Source Separation -- 8.3.1 Structure -- 8.3.2 Simulations -- 8.4 MIMO System -- 8.4.1 Evolution to a MIMO System -- 8.4.2 MIMO Beamforming and Equalization -- 8.5 Summary -- Appendix A: Matrix Approximation -- Appendix B: Differentiation with Respect to a Vector -- Appendix C: Genetic Algorithm -- C.1 The Principle -- C.1.1 Chromosome Representation -- C.1.2 Parent Selection -- C.1.3 Genetic Operation -- C.1.4 Fitness Evaluation -- C.1.5 Initialization -- C.1.6 Termination -- C.2 Design Example in Section 3.5.2 -- Bibliography.

Index.
Abstract:
This book provides an excellent reference for all professionals working in the area of array signal processing and its applications in wireless communications.   Wideband beamforming has advanced with the increasing bandwidth in wireless communications and the development of ultra wideband (UWB) technology. In this book, the authors address the fundamentals and most recent developments in the field of wideband beamforming. The book provides a thorough coverage of the subject including major sub-areas such as sub-band adaptive beamforming, frequency invariant beamforming, blind wideband beamforming, beamforming without temporal processing, and beamforming for multi-path signals. Key Features: Unique book focusing on wideband beamforming Discusses a hot topic coinciding with the increasing bandwidth in wireless communications and the development of UWB technology Addresses the general concept of beamforming including fixed beamformers and adaptive beamformers Covers advanced topics including sub-band adaptive beamforming, frequency invariant beamforming, blind wideband beamforming, beamforming without temporal processing, and beamforming for multi-path signals Includes various design examples and corresponding complexity analyses   This book provides a reference for engineers and researchers in wireless communications and signal processing fields. Postgraduate students studying signal processing will also find this book of interest.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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