Up-to-date coverage of the cutting-edge research on UWB Systems with Multiple Antennas In this book, the authors investigate the benefits of combining UWB and MIMO technologies; highlighting five aspects of this promising research field: channel capacity, space-time coding, beamforming and localization, time-reversal transmission, and UWB-MIMO relay. The book presents a systematic and in-depth discussion for each of the hot topics, providing an insight into the cutting-edge research currently undertaken. It is expected that the ideas and approaches illustrated in this book will inspire…mehr
Up-to-date coverage of the cutting-edge research on UWB Systems with Multiple Antennas
In this book, the authors investigate the benefits of combining UWB and MIMO technologies; highlighting five aspects of this promising research field: channel capacity, space-time coding, beamforming and localization, time-reversal transmission, and UWB-MIMO relay. The book presents a systematic and in-depth discussion for each of the hot topics, providing an insight into the cutting-edge research currently undertaken. It is expected that the ideas and approaches illustrated in this book will inspire sparks for the emerging technologies in short-range high data-rate wireless communications and other related applications.
Key Features: Provides a thorough coverage combining the UWB and MIMO, outlining the opportunities and benefits created by the combination of these technologies Highlights five aspects of this promising research field: channel capacity, space-time coding, beamforming and localization, time-reversal transmission, and UWB-MIMO relay Covers UWB-MIMO channel measurement and models
This book will serve as an invaluable reference for academic and professional researchers in wireless communications, and graduate students. Engineers and technical professionals will also find the book insightful
Professor Thomas Kaiser, Leibniz University of Hannover, Germany Professor Kaiser is the leader of the Institute of Communication Technology at the Leibniz University of Hannover, Germany, and is the founder and CEO of the spin-off company mimoOn GmbH. At mimoOn GmbH, he leads the scientific team to transfer the cutting edge signal processing algorithms combined with the up-to-date hardware, especially those for MIMO, into real products. Kaiser received the Ph.D. degree in 1995 with distinction and the German habilitation degree in 2000, both from Gerhard-Mercator-University, Duisburg, and in electrical engineering. Professor Feng Zheng, Leibniz University of Hannover, Germany Professor Zheng received the Ph.D. degree in automatic control in 1993 from Beijing University of Aeronautics and Astronautics, Beijing. He is now with Leibniz University of Hannover. He held Associate Professor at Chinese Academy of Sciences during 1995-1998 and Alexander-von-Humboldt Research Fellowship at University of Duisburg during 1999-2000. His research results on system and control theory are widely cited. From 2002, he has switched his research interests to signal processing, wireless communications and networks, especially on UWB and MIMO. He is one of the co-authors of the first paper on the channel capacity of UWB-MIMO systems.
Inhaltsangabe
Preface 1 Introduction 1.1 Introduction 1.2 UWB Basics 1.3 MIMO Principle 1.4 State of the Art UWB-MIMO 1.5 Scope of This Book 1.6 Notations 2 UWB MIMO Channel Measurement and Models 2.1 UWB SISO Channel Model 2.2 UWB MIMO Channel Model 2.3 Channel Measurement 2.4 Ray Tracing Simulation Tool 2.5 Summary 3 UWB Channel Capacity 3.1 Introduction 3.2 System Model 3.3 Channel Capacity with Unknown CSI at the Transmitter 3.4 Channel Capacity with Known CSI at the Transmitter 3.5 Special Case: SISO with Two Paths 3.6 Simulation Results 3.7 Channel Correlation 3.8 Measured Channel Capacity 3.9 Summary 4 UWB-MIMO Space-Time Coding 4.1 Introduction 4.2 A Revisit of Alamouti Space-Time Coding for Narrowband Systems 4.3 Alamouti Space-Time Coding for UWB Systems 4.4 General Space-Time Coding for UWB Systems 4.5 Performance of Antenna Selection 4.6 Spatio-FrequencyMultiplexing in Multiband OFDM Based UWB Systems 4.7 Summary 5 UWB Beamforming and Localization 5.1 Introduction 5.2 Ideal UWB Impulse Beamforming 5.3 The Main Lobe Beamwidth of UWB Beamformers 5.4 Optimal Beamforming 5.5 Various Aspects of UWB Beamformers 5.6 UWB Localization 5.7 NLOS Issue 5.8 Multipath Issue 5.9 Summary Appendix A Distribution of Ranging Noise 6 Time Reversal UWB Systems 6.1 Introduction 6.2 Motivation for the Time Reversal Approach in UWB Systems 6.3 Two Schemes of UWB MIMO TR Systems 6.4 Pre-equalizer Design for Spatial Multiplexing UWB SIMO TR Systems 6.5 Antenna Selection for Time Reversal MIMO UWB Systems 6.6 Impact of Channel Imperfection on UWB TR Systems 6.7 Summary 7 UWB Relay Systems 7.1 Introduction 7.2 UWB Relay Systems with SISO at Source and Destination 7.3 UWB Relay Systems with MIMO at Source and Destination 7.4 Opportunistic Relaying for UWB Systems 7.5 Summary Appendix A A.1 Derivations of cdfs and pdfs of J and J _ A.2 Derivation of Equation(7.33) A.2 The pdf of the End-to-End SNR per Bit for the DCF Relay System Bibliography
Preface 1 Introduction 1.1 Introduction 1.2 UWB Basics 1.3 MIMO Principle 1.4 State of the Art UWB-MIMO 1.5 Scope of This Book 1.6 Notations 2 UWB MIMO Channel Measurement and Models 2.1 UWB SISO Channel Model 2.2 UWB MIMO Channel Model 2.3 Channel Measurement 2.4 Ray Tracing Simulation Tool 2.5 Summary 3 UWB Channel Capacity 3.1 Introduction 3.2 System Model 3.3 Channel Capacity with Unknown CSI at the Transmitter 3.4 Channel Capacity with Known CSI at the Transmitter 3.5 Special Case: SISO with Two Paths 3.6 Simulation Results 3.7 Channel Correlation 3.8 Measured Channel Capacity 3.9 Summary 4 UWB-MIMO Space-Time Coding 4.1 Introduction 4.2 A Revisit of Alamouti Space-Time Coding for Narrowband Systems 4.3 Alamouti Space-Time Coding for UWB Systems 4.4 General Space-Time Coding for UWB Systems 4.5 Performance of Antenna Selection 4.6 Spatio-FrequencyMultiplexing in Multiband OFDM Based UWB Systems 4.7 Summary 5 UWB Beamforming and Localization 5.1 Introduction 5.2 Ideal UWB Impulse Beamforming 5.3 The Main Lobe Beamwidth of UWB Beamformers 5.4 Optimal Beamforming 5.5 Various Aspects of UWB Beamformers 5.6 UWB Localization 5.7 NLOS Issue 5.8 Multipath Issue 5.9 Summary Appendix A Distribution of Ranging Noise 6 Time Reversal UWB Systems 6.1 Introduction 6.2 Motivation for the Time Reversal Approach in UWB Systems 6.3 Two Schemes of UWB MIMO TR Systems 6.4 Pre-equalizer Design for Spatial Multiplexing UWB SIMO TR Systems 6.5 Antenna Selection for Time Reversal MIMO UWB Systems 6.6 Impact of Channel Imperfection on UWB TR Systems 6.7 Summary 7 UWB Relay Systems 7.1 Introduction 7.2 UWB Relay Systems with SISO at Source and Destination 7.3 UWB Relay Systems with MIMO at Source and Destination 7.4 Opportunistic Relaying for UWB Systems 7.5 Summary Appendix A A.1 Derivations of cdfs and pdfs of J and J _ A.2 Derivation of Equation(7.33) A.2 The pdf of the End-to-End SNR per Bit for the DCF Relay System Bibliography
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