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MARC Lista (tabellare)
Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos
Space-time processing for MIMO communications [[electronic resource] /] / edited by A.B. Gershman, N.D. Sidiropoulos
Pubbl/distr/stampa Chichester, : John Wiley, c2005
Descrizione fisica 1 online resource (389 p.)
Disciplina 621.382
Altri autori (Persone) GershmanAlex B
SidiropoulosN. D (Nikos D.)
Soggetto topico MIMO systems
Space time codes
ISBN 1-280-27622-3
9786610276226
0-470-01004-5
0-470-01003-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Space-Time Processing for MIMO Communications; Contents; List of Contributors; Preface; Acknowledgements; 1 MIMO Wireless Channel Modeling and Experimental Characterization; 1.1 Introduction; 1.1.1 MIMO system model; 1.1.2 Channel normalization; 1.2 MIMO ChannelMeasurement; 1.2.1 Measurement system; 1.2.2 Channel matrix characteristics; 1.2.3 Multipath estimation; 1.3 MIMO ChannelModels; 1.3.1 Random matrix models; 1.3.2 Geometric discrete scattering models; 1.3.3 Statistical cluster models; 1.3.4 Deterministic ray tracing; 1.4 The Impact of Antennas onMIMO Performance
1.4.1 Spatial diversity1.4.2 Pattern (angle and polarization) diversity; 1.4.3 Mutual coupling and receiver network modeling; References; 2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding; 2.1 Introduction; 2.2 Harmonic Retrieval DataModel; 2.2.1 2-D harmonic retrieval model; 2.2.2 N-D harmonic retrieval model; 2.2.3 Khatri-Rao product of Vandermonde matrices; 2.3 Identi.ability of Multidimensional Harmonic Retrieval; 2.3.1 Deterministic ID of N-D harmonic retrieval; 2.3.2 Stochastic ID of 2-D harmonic retrieval
2.3.3 Stochastic ID of N-D harmonic retrieval2.4 Multidimensional Harmonic Retrieval Algorithms; 2.4.1 2-DMDF; 2.4.2 N-DMDF; 2.4.3 N-D unitary ESPRIT; 2.4.4 N-DMUSIC; 2.4.5 N-D RARE; 2.4.6 Summary; 2.5 Numerical Examples; 2.5.1 2-D harmonic retrieval (simulated data); 2.5.2 3-D harmonic retrieval (simulated data); 2.6 Multidimensional Harmonic Retrieval for MIMO Channel Estimation; 2.6.1 Parametric channel modeling; 2.6.2 MIMO channel sounding; 2.6.3 Examples of 3-D MDF applied to measurement data; 2.7 Concluding Remarks; References
3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems3.1 Introduction; 3.2 Performance Measures of Multiple Antenna Systems; 3.2.1 Noise-limitedMIMO fading channels; 3.2.2 MIMO channels in the presence of cochannel interference; 3.2.3 MIMO beamforming; 3.3 SomeMathematical Preliminaries; 3.4 General Calculations with MIMO Applications; 3.4.1 Main result; 3.4.2 Application to noise-limited MIMO systems; 3.4.3 Applications to MIMO channels in the presence of interference; 3.5 Summary; References
4 Recent Advances in Orthogonal Space-Time Block Coding4.1 Introduction; 4.2 Notations and Acronyms; 4.3 Mathematical Preliminaries; 4.4 MIMO System Model and OSTBC Background; 4.5 Constellation Space Invariance and Equivalent Array-Processing-Type MIMOModel; 4.6 CoherentML Decoding; 4.7 Exact Symbol Error Probability Analysis of Coherent ML Decoder; 4.7.1 Probability of error for a separable input constellation; 4.7.2 Probability of error for a nonseparable input constellation; 4.8 Optimality Properties of OSTBCs
4.8.1 Suf.cient conditions for optimal space-time codes with dimensionconstrained constellations
Record Nr. UNINA-9910841632403321
Chichester, : John Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sparse Signal Processing for Massive MIMO Communications / / Zhen Gao, Yikun Mei, and Li Qiao
Sparse Signal Processing for Massive MIMO Communications / / Zhen Gao, Yikun Mei, and Li Qiao
Autore Gao Zhen <1989->
Edizione [First edition.]
Pubbl/distr/stampa Beijing, China : , : Springer, , [2024]
Descrizione fisica 1 online resource (XIV, 217 p. 72 illus., 69 illus. in color.)
Disciplina 621.384
Soggetto topico MIMO systems
Signal processing
ISBN 981-9953-94-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Massive MIMO Performance Analysis and Channel Estimation Scheme in Sparse Channels -- Channel Estimation Based on Structured Compressed Sensing Theory in FDD Massive MIMO Systems -- Channel Feedback Based on Distributed Compressed Sensing Theory in FDD Massive MIMO Systems -- Channel Estimation and Beamforming Based on Compressed Sensing Theory in mmWave Massive MIMO Systems -- Sparse Channel Estimation Based on Spectral Estimation Theory for mmWave Massive MIMO Systems -- Quasi-Optimal Signals Detection for Massive Spatial Modulation MIMO Systems Based on Structured Compressed Sensing -- Multiuser Signal Detection Based on Compressed Sensing for Massive Media Modulation MIMO Systems -- Compressed Sensing Mass Access Techniques in Medium Modulation Assisted IoT Machine Type Communication -- Time-varying Channel Estimation Based on Compressed Sensing Theory for TDS-OFDM Systems -- Summary and Prospects for Massive MIMO Technology.
Record Nr. UNINA-9910760281503321
Gao Zhen <1989->  
Beijing, China : , : Springer, , [2024]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Synthetic impulse and aperture radar (SIAR) : a novel multi-frequency MIMO radar / / Baixiao Chen and Jianqi Wu
Synthetic impulse and aperture radar (SIAR) : a novel multi-frequency MIMO radar / / Baixiao Chen and Jianqi Wu
Autore Chen Baixiao
Pubbl/distr/stampa Singapore : , : Wiley, , 2014
Descrizione fisica 1 online resource (438 p.)
Disciplina 621.3848/5
Soggetto topico Synthetic aperture radar
MIMO systems
ISBN 1-118-60959-X
1-118-60958-1
1-118-60957-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; About the Authors; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 Development of Modern Radar; 1.2 Basic Features of SIAR; 1.3 Four Anti Features of SIAR; 1.3.1 Anti-stealth of SIAR; 1.3.2 Anti-reconnaissance of SIAR; 1.3.3 Anti-ARM of SIAR; 1.3.4 Anti-interference of SIAR; 1.4 Main Types of MIMO Radar; 1.5 SIAR and MIMO Radar; 1.6 Organization of This Book; References; Chapter 2 Radar Common Signal Waveform and Pulse Compression; 2.1 Mathematical Form and its Classification of Radar Signal; 2.1.1 Signal Mathematical Form
2.1.2 Radar Signal Classification2.2 The Ambiguity Function and Radar Resolution; 2.2.1 Definition and Properties of the Ambiguity Function; 2.2.2 Radar Resolution; 2.2.3 The Ambiguity Function of a Constant-Frequency Pulse; 2.3 FM Pulse Signal and its Pulse Compression; 2.3.1 Linear Frequency Modulation (LFM or Chirp) Pulse Signal; 2.3.2 NLFM Pulse Signal; 2.3.3 LFM Pulse Compression; 2.3.4 Range-Doppler Uncertainty Principle of LFM; 2.4 Phase Coded Pulse Signal and its Processing; 2.4.1 The Waveform and Its Characteristic of Binary Phase Coded Signals; 2.4.2 Barker Codes
2.4.3 M-sequence Coded Signal2.4.4 Pulse Compression for a Phase Coded Signal; 2.4.5 The Effect of Doppler on a Phase Coded Signal; 2.4.6 Comparison of an LFM Signal with a Phase Coded Signal; 2.5 Stepped-Frequency Pulse Signal and its Processing; 2.5.1 Stepped-Frequency (Hop-Frequency) Pulse Signal; 2.5.2 FM Stepped Pulse Signal; 2.5.3 Stepped-Frequency Waveform Synthesis Processing; 2.6 Orthogonal Waveform; 2.6.1 The Orthogonal Waveform; 2.6.2 Orthogonal Binary Phase Coded Sequence Design Based on the Genetic Algorithm; 2.7 MATLAB® Program List; References; Chapter 3 System Design of SIAR
3.1 Introduction3.2 Principles of SIAR; 3.2.1 Orthogonal Frequency-Coded Signals; 3.2.2 Concepts of Impulse Synthesis and Aperture Synthesis; 3.2.3 Spatial-Temporal 3D Matched Filtering; 3.2.4 Synthesis of the Transmit Beam; 3.3 Synthesis of Transmit Pulse and Aperture; 3.3.1 Wideband Signal Model of SIAR; 3.3.2 Impulse Synthesis in Time and Frequency Domains; 3.3.3 Impulse Synthesis in the Time Domain; 3.3.4 Impulse Synthesis in the Frequency Domain; 3.3.5 Sampling Loss and its Compensation; 3.4 4D Ambiguity Function of SIAR; 3.4.1 Ambiguity Function of a Common Radar
3.4.2 4D Ambiguity Function of SIAR3.4.3 Analysis of 4D Resolution Capability; 3.5 Radar Equation of SIAR and its Characteristics; 3.5.1 SIAR Radar Equation and Phased Array Radar Equation; 3.5.2 Energy Utilization Ratio of SIAR; 3.5.3 LPI Performance of SIAR; 3.5.4 Compare SIAR with PAR; 3.6 Experimental System of SIAR; 3.6.1 Antenna Subsystem; 3.6.2 Transmitting Subsystem; 3.6.3 Receiving Subsystem; 3.6.4 Frequency Synthesis Subsystem; 3.7 Gain and Phase Calibration of SIAR; 3.8 Experimental Results of SIAR; 3.9 SIAR with Large Random Sparse Array; 3.10 Brief Summary
3.11 MATLAB® Program List
Record Nr. UNINA-9910132497703321
Chen Baixiao  
Singapore : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Synthetic impulse and aperture radar (SIAR) : a novel multi-frequency MIMO radar / / Baixiao Chen and Jianqi Wu
Synthetic impulse and aperture radar (SIAR) : a novel multi-frequency MIMO radar / / Baixiao Chen and Jianqi Wu
Autore Chen Baixiao
Pubbl/distr/stampa Singapore : , : Wiley, , 2014
Descrizione fisica 1 online resource (438 p.)
Disciplina 621.3848/5
Soggetto topico Synthetic aperture radar
MIMO systems
ISBN 1-118-60959-X
1-118-60958-1
1-118-60957-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; About the Authors; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 Development of Modern Radar; 1.2 Basic Features of SIAR; 1.3 Four Anti Features of SIAR; 1.3.1 Anti-stealth of SIAR; 1.3.2 Anti-reconnaissance of SIAR; 1.3.3 Anti-ARM of SIAR; 1.3.4 Anti-interference of SIAR; 1.4 Main Types of MIMO Radar; 1.5 SIAR and MIMO Radar; 1.6 Organization of This Book; References; Chapter 2 Radar Common Signal Waveform and Pulse Compression; 2.1 Mathematical Form and its Classification of Radar Signal; 2.1.1 Signal Mathematical Form
2.1.2 Radar Signal Classification2.2 The Ambiguity Function and Radar Resolution; 2.2.1 Definition and Properties of the Ambiguity Function; 2.2.2 Radar Resolution; 2.2.3 The Ambiguity Function of a Constant-Frequency Pulse; 2.3 FM Pulse Signal and its Pulse Compression; 2.3.1 Linear Frequency Modulation (LFM or Chirp) Pulse Signal; 2.3.2 NLFM Pulse Signal; 2.3.3 LFM Pulse Compression; 2.3.4 Range-Doppler Uncertainty Principle of LFM; 2.4 Phase Coded Pulse Signal and its Processing; 2.4.1 The Waveform and Its Characteristic of Binary Phase Coded Signals; 2.4.2 Barker Codes
2.4.3 M-sequence Coded Signal2.4.4 Pulse Compression for a Phase Coded Signal; 2.4.5 The Effect of Doppler on a Phase Coded Signal; 2.4.6 Comparison of an LFM Signal with a Phase Coded Signal; 2.5 Stepped-Frequency Pulse Signal and its Processing; 2.5.1 Stepped-Frequency (Hop-Frequency) Pulse Signal; 2.5.2 FM Stepped Pulse Signal; 2.5.3 Stepped-Frequency Waveform Synthesis Processing; 2.6 Orthogonal Waveform; 2.6.1 The Orthogonal Waveform; 2.6.2 Orthogonal Binary Phase Coded Sequence Design Based on the Genetic Algorithm; 2.7 MATLAB® Program List; References; Chapter 3 System Design of SIAR
3.1 Introduction3.2 Principles of SIAR; 3.2.1 Orthogonal Frequency-Coded Signals; 3.2.2 Concepts of Impulse Synthesis and Aperture Synthesis; 3.2.3 Spatial-Temporal 3D Matched Filtering; 3.2.4 Synthesis of the Transmit Beam; 3.3 Synthesis of Transmit Pulse and Aperture; 3.3.1 Wideband Signal Model of SIAR; 3.3.2 Impulse Synthesis in Time and Frequency Domains; 3.3.3 Impulse Synthesis in the Time Domain; 3.3.4 Impulse Synthesis in the Frequency Domain; 3.3.5 Sampling Loss and its Compensation; 3.4 4D Ambiguity Function of SIAR; 3.4.1 Ambiguity Function of a Common Radar
3.4.2 4D Ambiguity Function of SIAR3.4.3 Analysis of 4D Resolution Capability; 3.5 Radar Equation of SIAR and its Characteristics; 3.5.1 SIAR Radar Equation and Phased Array Radar Equation; 3.5.2 Energy Utilization Ratio of SIAR; 3.5.3 LPI Performance of SIAR; 3.5.4 Compare SIAR with PAR; 3.6 Experimental System of SIAR; 3.6.1 Antenna Subsystem; 3.6.2 Transmitting Subsystem; 3.6.3 Receiving Subsystem; 3.6.4 Frequency Synthesis Subsystem; 3.7 Gain and Phase Calibration of SIAR; 3.8 Experimental Results of SIAR; 3.9 SIAR with Large Random Sparse Array; 3.10 Brief Summary
3.11 MATLAB® Program List
Record Nr. UNINA-9910814944003321
Chen Baixiao  
Singapore : , : Wiley, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Ultra wideband systems with MIMO / / Thomas Kaiser and Feng Zheng
Ultra wideband systems with MIMO / / Thomas Kaiser and Feng Zheng
Autore Kaiser Thomas
Pubbl/distr/stampa Chichester, West Sussex, U.K. ; , : Wiley, , 2010
Descrizione fisica 1 online resource (274 p.)
Disciplina 621.382
Altri autori (Persone) ZhengFeng
Soggetto topico Broadband communication systems
MIMO systems
ISBN 1-282-55151-5
9786612551512
0-470-74001-9
0-470-74000-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Preface xi -- Acknowledgements xiii -- Abbreviations xv -- 1 Introduction 1 -- 1.1 Introduction 1 -- 1.2 UWB Basics 2 -- 1.3 MIMO Principle 6 -- 1.4 State-of-the-Art UWB-MIMO 10 -- 1.5 Scope of This Book 13 -- 1.6 Notation 15 -- 2 UWB-MIMO Channel Measurement and Models 17 -- 2.1 UWB-SISO Channel Model 18 -- 2.1.1 Large-Scale Path-Loss Models 18 -- 2.1.2 Small-Scale Fading Models 20 -- 2.2 UWB-MIMO Channel Model 23 -- 2.2.1 General Models 23 -- 2.2.2 Correlation Property 24 -- 2.3 Channel Measurement 29 -- 2.3.1 Measurement Setup 29 -- 2.3.2 Measured Results 30 -- 2.4 Ray-Tracing Simulation Tool 32 -- 2.4.1 Ray Tracing for Narrowband Systems 32 -- 2.4.2 Ray Tracing for UWB Systems 35 -- 2.5 Summary 42 -- 3 UWB Channel Capacity 45 -- 3.1 Introduction 45 -- 3.2 System Model 46 -- 3.3 Channel Capacity with Unknown CSI at the Transmitter 47 -- 3.4 Channel Capacity with Known CSI at the Transmitter 51 -- 3.4.1 The SISO Case 51 -- 3.4.2 The MIMO Case 52 -- 3.5 Special Case: SISO with Two Paths 54 -- 3.6 Simulation Results 58 -- 3.7 Channel Correlation 68 -- 3.8 Measured Channel Capacity 69 -- 3.9 Summary 71 -- 4 UWB-MIMO Space / Time Coding 73 -- 4.1 Introduction 73 -- 4.2 A Revisit of Alamouti Space / Time Coding for Narrowband Systems 74 -- 4.3 Alamouti Space / Time Coding for UWB Systems 78 -- 4.3.1 The 1S/2A Coding Scheme 78 -- 4.3.2 The 2S/2A Coding Scheme 80 -- 4.3.3 Simulation Results 82 -- 4.4 General Space / Time Coding for UWB Systems 84 -- 4.5 Performance of Antenna Selection 90 -- 4.6 Spatio-Frequency Multiplexing in MB-OFDM-Based UWB Systems 93 -- 4.7 Summary 98 -- 5 UWB Beamforming and Localization 99 -- 5.1 Introduction 99 -- 5.2 Ideal UWB Impulse Beamforming 100 -- 5.3 The Main Lobe Beamwidth of UWB Beamformers 102 -- 5.4 Optimal Beamforming 104 -- 5.5 Various Aspects of UWB Beamformers 106 -- 5.6 UWB Localization 111 -- 5.6.1 Beamforming Approach 113 -- 5.6.2 More Than Two Beamformers 115 -- 5.6.3 The BeamLoc Approach 117 -- 5.7 NLOS Issue 119 -- 5.7.1 NLOS Mitigation Based on a Priori Information 124.
5.8 Multipath Issue 127 -- 5.9 Summary 129 -- Appendix 5.A Distribution of Ranging Noise 130 -- 6 Time-Reversal UWB Systems 135 -- 6.1 Introduction 135 -- 6.2 Motivation for the Time-Reversal Approach in UWB Systems 137 -- 6.2.1 Theoretical Basis 138 -- 6.2.2 Simulation Results 140 -- 6.2.3 Robustness of TR- and IC-Based Systems 142 -- 6.3 Two Schemes of UWB MIMO TR Systems 145 -- 6.3.1 Full TR Scheme 146 -- 6.3.2 Diagonal TR Scheme 149 -- 6.4 Pre-Equalizer Design for Spatial Multiplexing UWB SIMO TR Systems 151 -- 6.4.1 System Description 151 -- 6.4.2 Pre-Equalizer Design 152 -- 6.4.3 Numerical Results 156 -- 6.5 Antenna Selection for Time-Reversal UWB MIMO Systems 161 -- 6.6 Impact of Channel Imperfection on UWB TR Systems 163 -- 6.6.1 Channel Model 163 -- 6.6.2 Analysis of UWB SISO TR Systems 165 -- 6.6.3 Analysis of UWB MIMO TR Systems 175 -- 6.6.4 MISO TR Multiuser Communications 179 -- 6.6.5 Numerical Results 182 -- 6.7 Summary 189 -- 7 UWB Relay Systems 191 -- 7.1 Introduction 191 -- 7.2 UWB Relay Systems with SISO at Source and Destination 194 -- 7.2.1 Coherent Detection Systems 194 -- 7.2.2 Noncoherent Detection Systems 201 -- 7.2.3 Numerical Results and Concluding Remarks 206 -- 7.3 UWB Relay Systems with MIMO at Source and Destination 211 -- 7.3.1 Channel and System Models 212 -- 7.3.2 Receiver-CSI-Assisted Relay Systems 213 -- 7.3.3 Transmitter-CSI-Assisted Relay Systems 222 -- 7.3.4 Numerical Results and Discussion 225 -- 7.4 Opportunistic Relaying for UWB Systems 231 -- 7.5 Summary 233 -- Appendix 7.A Derivations of cdfs and pdfs of J and J_ 234 -- Appendix 7.B Derivation of Equation (7.33) 237 -- Appendix 7.C The pdf of the End-to-End SNR per Bit for the DCF Relay -- System 237 -- References 239 -- Index 251.
Record Nr. UNINA-9910140607303321
Kaiser Thomas  
Chichester, West Sussex, U.K. ; , : Wiley, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Ultra wideband systems with MIMO / / Thomas Kaiser and Feng Zheng
Ultra wideband systems with MIMO / / Thomas Kaiser and Feng Zheng
Autore Kaiser Thomas
Pubbl/distr/stampa Chichester, West Sussex, U.K. ; , : Wiley, , 2010
Descrizione fisica 1 online resource (274 p.)
Disciplina 621.382
Altri autori (Persone) ZhengFeng
Soggetto topico Broadband communication systems
MIMO systems
ISBN 1-282-55151-5
9786612551512
0-470-74001-9
0-470-74000-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Preface xi -- Acknowledgements xiii -- Abbreviations xv -- 1 Introduction 1 -- 1.1 Introduction 1 -- 1.2 UWB Basics 2 -- 1.3 MIMO Principle 6 -- 1.4 State-of-the-Art UWB-MIMO 10 -- 1.5 Scope of This Book 13 -- 1.6 Notation 15 -- 2 UWB-MIMO Channel Measurement and Models 17 -- 2.1 UWB-SISO Channel Model 18 -- 2.1.1 Large-Scale Path-Loss Models 18 -- 2.1.2 Small-Scale Fading Models 20 -- 2.2 UWB-MIMO Channel Model 23 -- 2.2.1 General Models 23 -- 2.2.2 Correlation Property 24 -- 2.3 Channel Measurement 29 -- 2.3.1 Measurement Setup 29 -- 2.3.2 Measured Results 30 -- 2.4 Ray-Tracing Simulation Tool 32 -- 2.4.1 Ray Tracing for Narrowband Systems 32 -- 2.4.2 Ray Tracing for UWB Systems 35 -- 2.5 Summary 42 -- 3 UWB Channel Capacity 45 -- 3.1 Introduction 45 -- 3.2 System Model 46 -- 3.3 Channel Capacity with Unknown CSI at the Transmitter 47 -- 3.4 Channel Capacity with Known CSI at the Transmitter 51 -- 3.4.1 The SISO Case 51 -- 3.4.2 The MIMO Case 52 -- 3.5 Special Case: SISO with Two Paths 54 -- 3.6 Simulation Results 58 -- 3.7 Channel Correlation 68 -- 3.8 Measured Channel Capacity 69 -- 3.9 Summary 71 -- 4 UWB-MIMO Space / Time Coding 73 -- 4.1 Introduction 73 -- 4.2 A Revisit of Alamouti Space / Time Coding for Narrowband Systems 74 -- 4.3 Alamouti Space / Time Coding for UWB Systems 78 -- 4.3.1 The 1S/2A Coding Scheme 78 -- 4.3.2 The 2S/2A Coding Scheme 80 -- 4.3.3 Simulation Results 82 -- 4.4 General Space / Time Coding for UWB Systems 84 -- 4.5 Performance of Antenna Selection 90 -- 4.6 Spatio-Frequency Multiplexing in MB-OFDM-Based UWB Systems 93 -- 4.7 Summary 98 -- 5 UWB Beamforming and Localization 99 -- 5.1 Introduction 99 -- 5.2 Ideal UWB Impulse Beamforming 100 -- 5.3 The Main Lobe Beamwidth of UWB Beamformers 102 -- 5.4 Optimal Beamforming 104 -- 5.5 Various Aspects of UWB Beamformers 106 -- 5.6 UWB Localization 111 -- 5.6.1 Beamforming Approach 113 -- 5.6.2 More Than Two Beamformers 115 -- 5.6.3 The BeamLoc Approach 117 -- 5.7 NLOS Issue 119 -- 5.7.1 NLOS Mitigation Based on a Priori Information 124.
5.8 Multipath Issue 127 -- 5.9 Summary 129 -- Appendix 5.A Distribution of Ranging Noise 130 -- 6 Time-Reversal UWB Systems 135 -- 6.1 Introduction 135 -- 6.2 Motivation for the Time-Reversal Approach in UWB Systems 137 -- 6.2.1 Theoretical Basis 138 -- 6.2.2 Simulation Results 140 -- 6.2.3 Robustness of TR- and IC-Based Systems 142 -- 6.3 Two Schemes of UWB MIMO TR Systems 145 -- 6.3.1 Full TR Scheme 146 -- 6.3.2 Diagonal TR Scheme 149 -- 6.4 Pre-Equalizer Design for Spatial Multiplexing UWB SIMO TR Systems 151 -- 6.4.1 System Description 151 -- 6.4.2 Pre-Equalizer Design 152 -- 6.4.3 Numerical Results 156 -- 6.5 Antenna Selection for Time-Reversal UWB MIMO Systems 161 -- 6.6 Impact of Channel Imperfection on UWB TR Systems 163 -- 6.6.1 Channel Model 163 -- 6.6.2 Analysis of UWB SISO TR Systems 165 -- 6.6.3 Analysis of UWB MIMO TR Systems 175 -- 6.6.4 MISO TR Multiuser Communications 179 -- 6.6.5 Numerical Results 182 -- 6.7 Summary 189 -- 7 UWB Relay Systems 191 -- 7.1 Introduction 191 -- 7.2 UWB Relay Systems with SISO at Source and Destination 194 -- 7.2.1 Coherent Detection Systems 194 -- 7.2.2 Noncoherent Detection Systems 201 -- 7.2.3 Numerical Results and Concluding Remarks 206 -- 7.3 UWB Relay Systems with MIMO at Source and Destination 211 -- 7.3.1 Channel and System Models 212 -- 7.3.2 Receiver-CSI-Assisted Relay Systems 213 -- 7.3.3 Transmitter-CSI-Assisted Relay Systems 222 -- 7.3.4 Numerical Results and Discussion 225 -- 7.4 Opportunistic Relaying for UWB Systems 231 -- 7.5 Summary 233 -- Appendix 7.A Derivations of cdfs and pdfs of J and J_ 234 -- Appendix 7.B Derivation of Equation (7.33) 237 -- Appendix 7.C The pdf of the End-to-End SNR per Bit for the DCF Relay -- System 237 -- References 239 -- Index 251.
Record Nr. UNINA-9910813869103321
Kaiser Thomas  
Chichester, West Sussex, U.K. ; , : Wiley, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wireless communications over MIMO channels [[electronic resource] ] : applications to CDMA and multiple antenna systems / / Volker Kühn
Wireless communications over MIMO channels [[electronic resource] ] : applications to CDMA and multiple antenna systems / / Volker Kühn
Autore Kühn Volker
Pubbl/distr/stampa Chichester, England, : John Wiley & Sons, c2006
Descrizione fisica 1 online resource (389 p.)
Disciplina 621.384
Soggetto topico MIMO systems
Code division multiple access
Soggetto genere / forma Electronic books.
ISBN 1-280-51912-6
9786610519125
0-470-03460-2
0-470-03461-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Wireless Communications over MIMO Channels; Contents; Preface; Acknowledgements; List of Abbreviations; List of Symbols; 1 Introduction to Digital Communications; 1.1 Basic System Model; 1.1.1 Introduction; 1.1.2 Multiple Access Techniques; 1.1.3 Principle Structure of SISO Systems; 1.2 Characteristics of Mobile Radio Channels; 1.2.1 Equivalent Baseband Representation; 1.2.2 Additive White Gaussian Noise; 1.2.3 Frequency-Selective Time-Variant Fading; 1.2.4 Systems with Multiple Inputs and Outputs; 1.3 Signal Detection; 1.3.1 Optimal Decision Criteria; 1.3.2 Error Probability for AWGN Channel
1.3.3 Error and Outage Probability for Flat Fading Channels1.3.4 Time-Discrete Matched Filter; 1.4 Digital Linear Modulation; 1.4.1 Introduction; 1.4.2 Amplitude Shift Keying (ASK); 1.4.3 Quadrature Amplitude Modulation (QAM); 1.4.4 Phase Shift Keying (PSK); 1.5 Diversity; 1.5.1 General Concept; 1.5.2 MRC for Independent Diversity Branches; 1.5.3 MRC for Correlated Diversity Branches; 1.6 Summary; 2 Information Theory; 2.1 Basic Definitions; 2.1.1 Information, Redundancy, and Entropy; 2.1.2 Conditional, Joint and Mutual Information; 2.1.3 Extension for Continuous Signals
2.1.4 Extension for Vectors and Matrices2.2 Channel Coding Theorem for SISO Channels; 2.2.1 Channel Capacity; 2.2.2 Cutoff Rate; 2.2.3 Gallager Exponent; 2.2.4 Capacity of the AWGN Channel; 2.2.5 Capacity of Fading Channel; 2.2.6 Channel Capacity and Diversity; 2.3 Channel Capacity of MIMO Systems; 2.4 Channel Capacity for Multiuser Communications; 2.4.1 Single Antenna AWGN Channel; 2.4.2 Single Antenna Flat Fading Channel; 2.4.3 Multiple Antennas at Transmitter and Receiver; 2.5 Summary; 3 Forward Error Correction Coding; 3.1 Introduction; 3.2 Linear Block Codes
3.2.1 Description by Matrices3.2.2 Simple Parity Check and Repetition Codes; 3.2.3 Hamming and Simplex Codes; 3.2.4 Hadamard Codes; 3.2.5 Trellis Representation of Linear Block Codes; 3.3 Convolutional Codes; 3.3.1 Structure of Encoder; 3.3.2 Graphical Description of Convolutional Codes; 3.3.3 Puncturing Convolutional Codes; 3.3.4 ML Decoding with Viterbi Algorithm; 3.4 Soft-Output Decoding of Binary Codes; 3.4.1 Log-Likelihood Ratios - A Measure of Reliability; 3.4.2 General Approach for Soft-Output Decoding; 3.4.3 Soft-Output Decoding for Walsh Codes
3.4.4 BCJR Algorithm for Binary Block Codes3.4.5 BCJR Algorithm for Binary Convolutional Codes; 3.4.6 Implementation in Logarithmic Domain; 3.5 Performance Evaluation of Linear Codes; 3.5.1 Distance Properties of Codes; 3.5.2 Error Rate Performance of Codes; 3.5.3 Information Processing Characteristic; 3.6 Concatenated Codes; 3.6.1 Introduction; 3.6.2 Performance Analysis for Serial Concatenation; 3.6.3 Performance Analysis for Parallel Concatenation; 3.6.4 Turbo Decoding of Concatenated Codes; 3.6.5 EXIT Charts Analysis of Turbo Decoding; 3.7 Low-Density Parity Check (LDPC) Codes
3.7.1 Basic Definitions and Encoding
Record Nr. UNINA-9910143586603321
Kühn Volker  
Chichester, England, : John Wiley & Sons, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Wireless communications over MIMO channels [[electronic resource] ] : applications to CDMA and multiple antenna systems / / Volker Kühn
Wireless communications over MIMO channels [[electronic resource] ] : applications to CDMA and multiple antenna systems / / Volker Kühn
Autore Kühn Volker
Pubbl/distr/stampa Chichester, England, : John Wiley & Sons, c2006
Descrizione fisica 1 online resource (389 p.)
Disciplina 621.384
Soggetto topico MIMO systems
Code division multiple access
ISBN 1-280-51912-6
9786610519125
0-470-03460-2
0-470-03461-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Wireless Communications over MIMO Channels; Contents; Preface; Acknowledgements; List of Abbreviations; List of Symbols; 1 Introduction to Digital Communications; 1.1 Basic System Model; 1.1.1 Introduction; 1.1.2 Multiple Access Techniques; 1.1.3 Principle Structure of SISO Systems; 1.2 Characteristics of Mobile Radio Channels; 1.2.1 Equivalent Baseband Representation; 1.2.2 Additive White Gaussian Noise; 1.2.3 Frequency-Selective Time-Variant Fading; 1.2.4 Systems with Multiple Inputs and Outputs; 1.3 Signal Detection; 1.3.1 Optimal Decision Criteria; 1.3.2 Error Probability for AWGN Channel
1.3.3 Error and Outage Probability for Flat Fading Channels1.3.4 Time-Discrete Matched Filter; 1.4 Digital Linear Modulation; 1.4.1 Introduction; 1.4.2 Amplitude Shift Keying (ASK); 1.4.3 Quadrature Amplitude Modulation (QAM); 1.4.4 Phase Shift Keying (PSK); 1.5 Diversity; 1.5.1 General Concept; 1.5.2 MRC for Independent Diversity Branches; 1.5.3 MRC for Correlated Diversity Branches; 1.6 Summary; 2 Information Theory; 2.1 Basic Definitions; 2.1.1 Information, Redundancy, and Entropy; 2.1.2 Conditional, Joint and Mutual Information; 2.1.3 Extension for Continuous Signals
2.1.4 Extension for Vectors and Matrices2.2 Channel Coding Theorem for SISO Channels; 2.2.1 Channel Capacity; 2.2.2 Cutoff Rate; 2.2.3 Gallager Exponent; 2.2.4 Capacity of the AWGN Channel; 2.2.5 Capacity of Fading Channel; 2.2.6 Channel Capacity and Diversity; 2.3 Channel Capacity of MIMO Systems; 2.4 Channel Capacity for Multiuser Communications; 2.4.1 Single Antenna AWGN Channel; 2.4.2 Single Antenna Flat Fading Channel; 2.4.3 Multiple Antennas at Transmitter and Receiver; 2.5 Summary; 3 Forward Error Correction Coding; 3.1 Introduction; 3.2 Linear Block Codes
3.2.1 Description by Matrices3.2.2 Simple Parity Check and Repetition Codes; 3.2.3 Hamming and Simplex Codes; 3.2.4 Hadamard Codes; 3.2.5 Trellis Representation of Linear Block Codes; 3.3 Convolutional Codes; 3.3.1 Structure of Encoder; 3.3.2 Graphical Description of Convolutional Codes; 3.3.3 Puncturing Convolutional Codes; 3.3.4 ML Decoding with Viterbi Algorithm; 3.4 Soft-Output Decoding of Binary Codes; 3.4.1 Log-Likelihood Ratios - A Measure of Reliability; 3.4.2 General Approach for Soft-Output Decoding; 3.4.3 Soft-Output Decoding for Walsh Codes
3.4.4 BCJR Algorithm for Binary Block Codes3.4.5 BCJR Algorithm for Binary Convolutional Codes; 3.4.6 Implementation in Logarithmic Domain; 3.5 Performance Evaluation of Linear Codes; 3.5.1 Distance Properties of Codes; 3.5.2 Error Rate Performance of Codes; 3.5.3 Information Processing Characteristic; 3.6 Concatenated Codes; 3.6.1 Introduction; 3.6.2 Performance Analysis for Serial Concatenation; 3.6.3 Performance Analysis for Parallel Concatenation; 3.6.4 Turbo Decoding of Concatenated Codes; 3.6.5 EXIT Charts Analysis of Turbo Decoding; 3.7 Low-Density Parity Check (LDPC) Codes
3.7.1 Basic Definitions and Encoding
Record Nr. UNINA-9910830677503321
Kühn Volker  
Chichester, England, : John Wiley & Sons, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wireless communications over MIMO channels [[electronic resource] ] : applications to CDMA and multiple antenna systems / / Volker Kühn
Wireless communications over MIMO channels [[electronic resource] ] : applications to CDMA and multiple antenna systems / / Volker Kühn
Autore Kühn Volker
Pubbl/distr/stampa Chichester, England, : John Wiley & Sons, c2006
Descrizione fisica 1 online resource (389 p.)
Disciplina 621.384
Soggetto topico MIMO systems
Code division multiple access
ISBN 1-280-51912-6
9786610519125
0-470-03460-2
0-470-03461-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Wireless Communications over MIMO Channels; Contents; Preface; Acknowledgements; List of Abbreviations; List of Symbols; 1 Introduction to Digital Communications; 1.1 Basic System Model; 1.1.1 Introduction; 1.1.2 Multiple Access Techniques; 1.1.3 Principle Structure of SISO Systems; 1.2 Characteristics of Mobile Radio Channels; 1.2.1 Equivalent Baseband Representation; 1.2.2 Additive White Gaussian Noise; 1.2.3 Frequency-Selective Time-Variant Fading; 1.2.4 Systems with Multiple Inputs and Outputs; 1.3 Signal Detection; 1.3.1 Optimal Decision Criteria; 1.3.2 Error Probability for AWGN Channel
1.3.3 Error and Outage Probability for Flat Fading Channels1.3.4 Time-Discrete Matched Filter; 1.4 Digital Linear Modulation; 1.4.1 Introduction; 1.4.2 Amplitude Shift Keying (ASK); 1.4.3 Quadrature Amplitude Modulation (QAM); 1.4.4 Phase Shift Keying (PSK); 1.5 Diversity; 1.5.1 General Concept; 1.5.2 MRC for Independent Diversity Branches; 1.5.3 MRC for Correlated Diversity Branches; 1.6 Summary; 2 Information Theory; 2.1 Basic Definitions; 2.1.1 Information, Redundancy, and Entropy; 2.1.2 Conditional, Joint and Mutual Information; 2.1.3 Extension for Continuous Signals
2.1.4 Extension for Vectors and Matrices2.2 Channel Coding Theorem for SISO Channels; 2.2.1 Channel Capacity; 2.2.2 Cutoff Rate; 2.2.3 Gallager Exponent; 2.2.4 Capacity of the AWGN Channel; 2.2.5 Capacity of Fading Channel; 2.2.6 Channel Capacity and Diversity; 2.3 Channel Capacity of MIMO Systems; 2.4 Channel Capacity for Multiuser Communications; 2.4.1 Single Antenna AWGN Channel; 2.4.2 Single Antenna Flat Fading Channel; 2.4.3 Multiple Antennas at Transmitter and Receiver; 2.5 Summary; 3 Forward Error Correction Coding; 3.1 Introduction; 3.2 Linear Block Codes
3.2.1 Description by Matrices3.2.2 Simple Parity Check and Repetition Codes; 3.2.3 Hamming and Simplex Codes; 3.2.4 Hadamard Codes; 3.2.5 Trellis Representation of Linear Block Codes; 3.3 Convolutional Codes; 3.3.1 Structure of Encoder; 3.3.2 Graphical Description of Convolutional Codes; 3.3.3 Puncturing Convolutional Codes; 3.3.4 ML Decoding with Viterbi Algorithm; 3.4 Soft-Output Decoding of Binary Codes; 3.4.1 Log-Likelihood Ratios - A Measure of Reliability; 3.4.2 General Approach for Soft-Output Decoding; 3.4.3 Soft-Output Decoding for Walsh Codes
3.4.4 BCJR Algorithm for Binary Block Codes3.4.5 BCJR Algorithm for Binary Convolutional Codes; 3.4.6 Implementation in Logarithmic Domain; 3.5 Performance Evaluation of Linear Codes; 3.5.1 Distance Properties of Codes; 3.5.2 Error Rate Performance of Codes; 3.5.3 Information Processing Characteristic; 3.6 Concatenated Codes; 3.6.1 Introduction; 3.6.2 Performance Analysis for Serial Concatenation; 3.6.3 Performance Analysis for Parallel Concatenation; 3.6.4 Turbo Decoding of Concatenated Codes; 3.6.5 EXIT Charts Analysis of Turbo Decoding; 3.7 Low-Density Parity Check (LDPC) Codes
3.7.1 Basic Definitions and Encoding
Record Nr. UNINA-9910840984303321
Kühn Volker  
Chichester, England, : John Wiley & Sons, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wireless MIMO-OFDM systems with coherent and non-coherent detection / / Alexander Vanaev
Wireless MIMO-OFDM systems with coherent and non-coherent detection / / Alexander Vanaev
Autore Vanaev Alexander
Pubbl/distr/stampa Göttingen, [Germany] : , : Cuvillier Verlag, , 2013
Descrizione fisica 1 online resource (196 pages) : illustrations
Disciplina 621.38216
Soggetto topico Orthogonal frequency division multiplexing
MIMO systems
Soggetto genere / forma Electronic books.
ISBN 3-7369-4342-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910511652403321
Vanaev Alexander  
Göttingen, [Germany] : , : Cuvillier Verlag, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui