Wideband Beamforming / Wireless Communications and Mobile Computing (PDF)

Preface Acknowledgements 1 Introduction 1.1 Array Signal Processing 1.2 Narrowband Beamforming 1.3 Wideband Beamforming 1.4 Wideband Beam Steering 1.5 Summary 2 Adaptive Wideband Beamforming 2.1 Reference Signal-Based Beamformer 2.2 Linearly Constrained Minimum Variance Beamforming 2.3 Constraints Design for LCMV Beamforming 2.4 Generalized Sidelobe Canceller 2.5 Other Minimum Variance Beamformers 2.6 Robust Adaptive Beamforming 2.7 Summary 3 Subband Adaptive Beamforming 3.1 Fundamentals of Filter Banks 3.2 Subband Adaptive Filtering 3.3 General Subband Adaptive Beamforming 3.4 Subband Adaptive GSC 3.5 Temporally/Spatially Subband-Selective Beamforming 3.6 Frequency-Domain Adaptive Beamforming 3.7 Transform-Domain Adaptive Beamforming 3.8 Summary 4 Design of Fixed Wideband Beamformers 4.1 Iterative Optimization 4.2 The Least Squares Approach 4.3 The Eigenfilter Approach 4.4 Summary 5 Frequency Invariant Beamforming 5.1 Introduction 5.2 Design Based on Multi-Dimensional Inverse Fourier Transform 5.3 Subband Design of Frequency Invariant Beamformers 5.4 Frequency Invariant Beamforming for Circular Arrays 5.5 Direct Optimization for Frequency Invariant Beamforming 5.6 Beamspace Adaptive Wideband Beamforming 5.7 Summary 6 Blind Wideband Beamforming 6.1 Blind Source Separation 6.2 Blind Wideband Beamforming 6.3 Blind Beamforming Based on Frequency Invariant Transformation 6.4 Summary 7 Wideband Beamforming with Sensor Delay-Lines 7.1 Sensor Delay-Line Based Structures 7.2 Frequency Invariant Beamforming 7.3 Adaptive Beamforming 7.4 Beamspace Adaptive Beamforming 7.5 Summary 8 Wideband Beamforming for Multipath Signals 8.1 The Wideband Multipath Problem 8.2 Approach Based on a Narrowband Beamformer 8.3 Approach Based on Blind Source Separation 8.4 MIMO System 8.5 Summary Appendix A: Matrix Approximation Appendix B: Differentiation with Respect to a Vector Appendix C: Generic Algorithm C.1 The Principle C.2 Design Example in Section 3.5.2 Bibliography Index

Dr. Wei Liu, University of Sheffield, UK
Dr Liu received his B.Sc. in Space Physics (1996) and L.L.B in Intellectual Property Law (1997) from Peking University, China; M.Phil. in Filter Banks and Wavelets from the Department of Electrical and Electronic Engineering, University of Hong Kong (2001); PhD in Digital Beamforming from the Communications Research Group, School of Electronics and Computer Science, University of Southampton (2003). He then worked as a postdoc in the same group and later in the Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College London, where he moved to the area of blind source separation. In September 2005, Dr Liu joined the Communications Research Group, Department of Electronic and Electrical Engineering, University of Sheffield, as a lecturer.

Dr. Stephan Weiss, University of Strathclyde, Scotland
Dr Weiss received the degree of Diplom-Ingenieur in Electronic & Electrical Engineering from the University of Erlangen-Nürnberg in 1995, and the PhD in the same subject from the University of Strathclyde in 1998. Interrupted by a leave in 1996/97 as a visiting scholar at the Signal and Image Processing Institute, University of Southern California, he was a research student in the Signal Processing Division, University of Strathclyde. He held a visiting lectureship in the EEE Department at Strathclyde in 1998/99, and joined the Communications Research Group of the Electronics and Computer Science Department at the University of Southampton as a lecturer in 1999. He was promoted to a senior lecturership at University of Strathclyde in 2003.

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