实例介绍
【实例简介】
MIMO的2014年最新英文原版书籍,Introduction to MIMO Communications
Introduction to mimo communications This accessible, self-contained guide contains everything you need to get up to speed on the theory and implementation of mimo techniques In-depth coverage of topics such as RF propagation, space-time coding, spatial mul tiplexing, OFDM in MIMO for broadband applications, the theoretical MIMO capacity formula, and channel estimation, will give you a deep understanding of how the results are obtained, while detailed descriptions of how MIMO is implemented in commercial WiFi and ltE networks will help you apply the theory to practical wireless systems Key concepts in matrix mathematics and information theory are introduced and devel oped as you need them, and key results are derived step by step, with no details omitted Including numerous worked examples, and end-of-chapter exercises to reinforce and solidify your understanding, this is the perfect introduction to MIMO for anyone new to the field Jerry R. Hampton is a research engineer with over 30 years'experience in communi- cations systems engineering. He is a member of the principal professional staff in the Applied Physics Laboratory, and an Adjunct Professor in the Whiting School of Engi neering, at The Johns Hopkins University, where he teaches a graduate course in MIMO wireless communications This is a well-organized comprehensive treatise on MIMO principles, methods, and applications. While many concepts are introduced in intuitively pleasing ways; the integration of detailed step-by-step mathematical developments of MIMo principles propagation models, channel characterizations, and applications of MIMo in commer cial systems adds tremendous depth and understanding to the concepts. After studyin this text, if readers have interests in topics not covered, they will very likely be able to understand or author for themselves advanced MIMo literature on such topics David nicholson Communications consultant Introduction to MIMO Communications JERRY R. HAMPTON The Johns Hopkins University CAMBRIDGE UNIVERSITY PRESS CAMBRIDGE UNIVERSITY PRESS University Printing House, Cambridge CB2 8BS, United Kingdom Published in the United States of America by Cambridge University Press, New York Cambridge University Press is part of the University of Cambridge It furthers the University's mission by disseminating know ledge in the pursuit of education. learning. and research at the highest international levels of excellence www.cambrldge.org Informationonthistitlewww.cambridgeorg/9781107042834 c Cambridge University Press 2014 This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements no reproduction of any part may take place without the written permission of Cambridge University Press First published 2014 Printed in the United Kingdom by TJ International Ltd. Padstow Cornwall A catalog record for this publication is available from the British library ISBN 978-1-107-04283-4 Hardback Additionalresourcesforthispublicationatwww.cambridge.org/hampton Cambridge University Press has no responsibility for the persistence or accuracy of URLS for external or third-party internet websites referred to in this publication and does not guarantee that any content on such websites is, or will remain accurate or appropriate. Contents ace page X Overview of mimo communications 1.1 What iS MIMo? 1.2 History of MIMO 1. 3 Smart antennas VS Mimo 1. 4 Single-user and multi-user Mimo 1.5 Introduction to spatial diversity 1.5.1 The concept of diversity 1356779 1.5.2 Receive and transmit diversity 1.5.3 Common diversity performance metrics 1.5.4 Relationship between diversity order and diversity gain 12 1.6 Introduction to spatial multiplexing 15 1.6.1 The concept of spatial multiplexing 1.7 Open- and closed-loop MIMO 17 1. 8 The practical use of MIMO 18 1.8.1 Commercial MIMO implementations 18 1.8.2 Measured MIMO performance 19 1. 9 Review of matrices 2 1.9.1 Basic definitions 22 1.9.2 Theorems and properties 23 The MIMo capacity formula 28 2.1 What is information? 28 2.2 Entropy 30 2.3 Mutual information 31 2. 4 Definition of siso capacity 33 2.5 Definition of MIMO capacity 34 5.1 MIMO System model 34 2.5.2 Capacity 35 2.6 Evaluating H(z) 36 2.7 Evaluating H(r 37 2. 8 Final result 38 2. 8.1 Real signals 38 2.8.2 Complex signals 39 V Contents 3 Applications of the MiMo capacity formula 3.1 MiMO capacity under the Csir assumption 42 3.2 Eigen-channels and channel rank 44 3.3 Optimum distribution of channel eigenvalues 46 3.4 Eigenbeamforming 47 3.5 Optimal allocation of power in eigenbeamforming 50 3.5.1 The waterfilling algorithm 50 3.5.2 Discussion of the waterfilling algorithm 3.6 Single-mode eigenbeamforming 53 3.7 Performance comparison 54 3.7.1 Results for w≥N 54 3.7.2 Results for N > n 3.8 Capacities of SIMO and Miso channels 58 3.8.1 SIMO capacity 58 3.8.2 MISO capacity 59 3.9 Capacity of random channels 3.9.1 Definition of H 3.9.2 Capacity of an Hw channel for large N 3.9.3 Ergodic capacity 63 3.94 Outage capacity 4 RF propagation 70 4.1 Phenomenology of multipath channels 70 4.2 Power law propagation 72 4.3 Impulse response of a multipath channel 4.4 Intrinsic multipath channel parameters 4.4.1 Parameters related to T 78 4. 4.2 Parameters related to t 4.5 Classes of multipath channels 4.5.1 Flat fading 90 4.5.2 Frequency-selective fading 4.5.3 Slow and fast fading 93 4.6 Statistics of small-scale fading 4.6.1 Rayleigh fadin 93 4.6.2 Rician fading MIMO channel models 97 5.1 MIMO channels in LOs geometry 97 5.2 General channel model with correlation 99 5. 3 Kronecker channel model 5.4 Impact of antenna correlation on MIMO capacity 103 5.5 Dependence of Rt and Rr on antenna spacing and scattering angle 105 5.6 Pinhole scattering 107 5.7 Line-of-sight channel model 110 ontents VIl Alamouti coding 114 6. 1 Maximal ratio receive combining (Mrrc) 115 6.2 Challenges with achieving transmit diversity 117 6.3 2 x 1 Alamouti coding 118 6.4 2 X Nr Alamouti coding 120 6.4.1The2×2case 120 6.42The2× N case 122 6.5 Maximum likelihood demodulation in mrrc and Alamouti receivers 123 6.6 Performance results 125 6.6. 1 Theoretical performance analysis 125 6.6.2 Simulating Alamouti and MrRC systems 127 6.6.3 Results 128 Space-time coding 131 7.1 Space-time coding introduction 131 7.1.1 Definition of stbc code rate 131 7.1.2 Spectral efficiency of a STBC 133 7.1.3 A taxonomy of space-time codes 134 7.2 Space-time code design criteria 136 7.2.1 General pairwise error probability expression 136 7.2.2 Pairwise error probability in Rayleigh fadin 140 7.2.3 Pairwise error probability in Rician fading 142 7.2.4 Summary of design criteria 142 7.3 Orthogonal space-time block codes 146 7.3.1 Real, square OSTBCs 146 7.3.2 Real, non-square OSTBCs 147 7.3.3 Complex OStBCs 149 7.3.4 Decoding ostbcs 150 7.3.5 Simulating OstbC performance 153 7.3.6 oStBC performance results 153 7.4 Space-time trellis codes 155 7.4.1 STTC encoding 156 7.4.2 STTC performance results 157 Spatial multiplexing 162 8.1 Overview of spatial multiplexing 162 8.2 BLAST encoding architectures 165 8.2.1 Vertical-BLAST (V-BLAST) 165 8.2.2 Horizontal-BLAST(H-BLAST) 166 8.2.3 Diagonal-BLAST (D-BLAST) 166 8.3 Demultiplexing methods for H-BLAST and V-BLAST 168 8.3.1 Zero-forcing(ZF) 168 8.3.2 Zero-forcing with interference cancellation(ZF-IC) 171 8.3.3 Linear minimum mean square detection ( LMMSE) 175 Contents 8.3.4 LMMSE with interference cancellation (LMMSE-IC) 179 8.3.5 BLAST performance results 8.3.6 Comparison of ZF and lmmse at large snr 186 Multi-group space-time coded modulation(MGStC) 187 8.4.1 The mstc encoder structure 187 8.4.2 Nomenclature 188 8.4.3 MGSTC decoding 18 8.4.4 Group-dependent diversity 193 8.4.5 MGSTC performance results 194 9 Broadband mimo 197 9.1 Flat and frequency-selective fading 197 9.2 Strategies for coping with frequency-selective fading 198 9.2.1 Exploiting frequency-selective fadin 199 9.2.2 Combating frequency-selective fading 200 9.3 Conventional OFDM 203 9.4 MIMO OFDM 205 9.5 OFDMA 210 9.6 Space-frequency block coding(SFBC) 211 10 Channel estimation 214 10.1 Introduction 214 10.2 Pilot allocation strategies 10.2.1 Narrowband miMo channels 215 10.2.2 Broadband Mimo channels 216 10.2.3 Designing pr ilot spacing 217 10.2. 4 Spatial pilot allocation strategies 219 10.3 Narrowband mimo channel estimation 220 10.3.1 Maximum likelihood channel estimation 22 10.3.2 Least squares channel estimation 222 10.3.3 Linear minimum mean square channel estimation 222 10.3. 4 Choosing pilot signals 224 10.3.5 Narrowband Ce performance 225 10.4 Broadband mimo channel estimation 227 10.4.1 Frequency-domain channel estimation 228 10.4.2 Time-frequency interpolation Practical MIMO examples 232 11.1 WiFi 232 11.1.1 Overview of ieee 802.11n 32 11. 1. 2 802.1In packet structure 235 11.1.3 802.1In ht transmitter architecture 237 11.1.4 Space-time block coding in 802.1In 242 11.1.5 OFDM in802.11n ) 【实例截图】
【核心代码】
MIMO的2014年最新英文原版书籍,Introduction to MIMO Communications
Introduction to mimo communications This accessible, self-contained guide contains everything you need to get up to speed on the theory and implementation of mimo techniques In-depth coverage of topics such as RF propagation, space-time coding, spatial mul tiplexing, OFDM in MIMO for broadband applications, the theoretical MIMO capacity formula, and channel estimation, will give you a deep understanding of how the results are obtained, while detailed descriptions of how MIMO is implemented in commercial WiFi and ltE networks will help you apply the theory to practical wireless systems Key concepts in matrix mathematics and information theory are introduced and devel oped as you need them, and key results are derived step by step, with no details omitted Including numerous worked examples, and end-of-chapter exercises to reinforce and solidify your understanding, this is the perfect introduction to MIMO for anyone new to the field Jerry R. Hampton is a research engineer with over 30 years'experience in communi- cations systems engineering. He is a member of the principal professional staff in the Applied Physics Laboratory, and an Adjunct Professor in the Whiting School of Engi neering, at The Johns Hopkins University, where he teaches a graduate course in MIMO wireless communications This is a well-organized comprehensive treatise on MIMO principles, methods, and applications. While many concepts are introduced in intuitively pleasing ways; the integration of detailed step-by-step mathematical developments of MIMo principles propagation models, channel characterizations, and applications of MIMo in commer cial systems adds tremendous depth and understanding to the concepts. After studyin this text, if readers have interests in topics not covered, they will very likely be able to understand or author for themselves advanced MIMo literature on such topics David nicholson Communications consultant Introduction to MIMO Communications JERRY R. HAMPTON The Johns Hopkins University CAMBRIDGE UNIVERSITY PRESS CAMBRIDGE UNIVERSITY PRESS University Printing House, Cambridge CB2 8BS, United Kingdom Published in the United States of America by Cambridge University Press, New York Cambridge University Press is part of the University of Cambridge It furthers the University's mission by disseminating know ledge in the pursuit of education. learning. and research at the highest international levels of excellence www.cambrldge.org Informationonthistitlewww.cambridgeorg/9781107042834 c Cambridge University Press 2014 This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements no reproduction of any part may take place without the written permission of Cambridge University Press First published 2014 Printed in the United Kingdom by TJ International Ltd. Padstow Cornwall A catalog record for this publication is available from the British library ISBN 978-1-107-04283-4 Hardback Additionalresourcesforthispublicationatwww.cambridge.org/hampton Cambridge University Press has no responsibility for the persistence or accuracy of URLS for external or third-party internet websites referred to in this publication and does not guarantee that any content on such websites is, or will remain accurate or appropriate. Contents ace page X Overview of mimo communications 1.1 What iS MIMo? 1.2 History of MIMO 1. 3 Smart antennas VS Mimo 1. 4 Single-user and multi-user Mimo 1.5 Introduction to spatial diversity 1.5.1 The concept of diversity 1356779 1.5.2 Receive and transmit diversity 1.5.3 Common diversity performance metrics 1.5.4 Relationship between diversity order and diversity gain 12 1.6 Introduction to spatial multiplexing 15 1.6.1 The concept of spatial multiplexing 1.7 Open- and closed-loop MIMO 17 1. 8 The practical use of MIMO 18 1.8.1 Commercial MIMO implementations 18 1.8.2 Measured MIMO performance 19 1. 9 Review of matrices 2 1.9.1 Basic definitions 22 1.9.2 Theorems and properties 23 The MIMo capacity formula 28 2.1 What is information? 28 2.2 Entropy 30 2.3 Mutual information 31 2. 4 Definition of siso capacity 33 2.5 Definition of MIMO capacity 34 5.1 MIMO System model 34 2.5.2 Capacity 35 2.6 Evaluating H(z) 36 2.7 Evaluating H(r 37 2. 8 Final result 38 2. 8.1 Real signals 38 2.8.2 Complex signals 39 V Contents 3 Applications of the MiMo capacity formula 3.1 MiMO capacity under the Csir assumption 42 3.2 Eigen-channels and channel rank 44 3.3 Optimum distribution of channel eigenvalues 46 3.4 Eigenbeamforming 47 3.5 Optimal allocation of power in eigenbeamforming 50 3.5.1 The waterfilling algorithm 50 3.5.2 Discussion of the waterfilling algorithm 3.6 Single-mode eigenbeamforming 53 3.7 Performance comparison 54 3.7.1 Results for w≥N 54 3.7.2 Results for N > n 3.8 Capacities of SIMO and Miso channels 58 3.8.1 SIMO capacity 58 3.8.2 MISO capacity 59 3.9 Capacity of random channels 3.9.1 Definition of H 3.9.2 Capacity of an Hw channel for large N 3.9.3 Ergodic capacity 63 3.94 Outage capacity 4 RF propagation 70 4.1 Phenomenology of multipath channels 70 4.2 Power law propagation 72 4.3 Impulse response of a multipath channel 4.4 Intrinsic multipath channel parameters 4.4.1 Parameters related to T 78 4. 4.2 Parameters related to t 4.5 Classes of multipath channels 4.5.1 Flat fading 90 4.5.2 Frequency-selective fading 4.5.3 Slow and fast fading 93 4.6 Statistics of small-scale fading 4.6.1 Rayleigh fadin 93 4.6.2 Rician fading MIMO channel models 97 5.1 MIMO channels in LOs geometry 97 5.2 General channel model with correlation 99 5. 3 Kronecker channel model 5.4 Impact of antenna correlation on MIMO capacity 103 5.5 Dependence of Rt and Rr on antenna spacing and scattering angle 105 5.6 Pinhole scattering 107 5.7 Line-of-sight channel model 110 ontents VIl Alamouti coding 114 6. 1 Maximal ratio receive combining (Mrrc) 115 6.2 Challenges with achieving transmit diversity 117 6.3 2 x 1 Alamouti coding 118 6.4 2 X Nr Alamouti coding 120 6.4.1The2×2case 120 6.42The2× N case 122 6.5 Maximum likelihood demodulation in mrrc and Alamouti receivers 123 6.6 Performance results 125 6.6. 1 Theoretical performance analysis 125 6.6.2 Simulating Alamouti and MrRC systems 127 6.6.3 Results 128 Space-time coding 131 7.1 Space-time coding introduction 131 7.1.1 Definition of stbc code rate 131 7.1.2 Spectral efficiency of a STBC 133 7.1.3 A taxonomy of space-time codes 134 7.2 Space-time code design criteria 136 7.2.1 General pairwise error probability expression 136 7.2.2 Pairwise error probability in Rayleigh fadin 140 7.2.3 Pairwise error probability in Rician fading 142 7.2.4 Summary of design criteria 142 7.3 Orthogonal space-time block codes 146 7.3.1 Real, square OSTBCs 146 7.3.2 Real, non-square OSTBCs 147 7.3.3 Complex OStBCs 149 7.3.4 Decoding ostbcs 150 7.3.5 Simulating OstbC performance 153 7.3.6 oStBC performance results 153 7.4 Space-time trellis codes 155 7.4.1 STTC encoding 156 7.4.2 STTC performance results 157 Spatial multiplexing 162 8.1 Overview of spatial multiplexing 162 8.2 BLAST encoding architectures 165 8.2.1 Vertical-BLAST (V-BLAST) 165 8.2.2 Horizontal-BLAST(H-BLAST) 166 8.2.3 Diagonal-BLAST (D-BLAST) 166 8.3 Demultiplexing methods for H-BLAST and V-BLAST 168 8.3.1 Zero-forcing(ZF) 168 8.3.2 Zero-forcing with interference cancellation(ZF-IC) 171 8.3.3 Linear minimum mean square detection ( LMMSE) 175 Contents 8.3.4 LMMSE with interference cancellation (LMMSE-IC) 179 8.3.5 BLAST performance results 8.3.6 Comparison of ZF and lmmse at large snr 186 Multi-group space-time coded modulation(MGStC) 187 8.4.1 The mstc encoder structure 187 8.4.2 Nomenclature 188 8.4.3 MGSTC decoding 18 8.4.4 Group-dependent diversity 193 8.4.5 MGSTC performance results 194 9 Broadband mimo 197 9.1 Flat and frequency-selective fading 197 9.2 Strategies for coping with frequency-selective fading 198 9.2.1 Exploiting frequency-selective fadin 199 9.2.2 Combating frequency-selective fading 200 9.3 Conventional OFDM 203 9.4 MIMO OFDM 205 9.5 OFDMA 210 9.6 Space-frequency block coding(SFBC) 211 10 Channel estimation 214 10.1 Introduction 214 10.2 Pilot allocation strategies 10.2.1 Narrowband miMo channels 215 10.2.2 Broadband Mimo channels 216 10.2.3 Designing pr ilot spacing 217 10.2. 4 Spatial pilot allocation strategies 219 10.3 Narrowband mimo channel estimation 220 10.3.1 Maximum likelihood channel estimation 22 10.3.2 Least squares channel estimation 222 10.3.3 Linear minimum mean square channel estimation 222 10.3. 4 Choosing pilot signals 224 10.3.5 Narrowband Ce performance 225 10.4 Broadband mimo channel estimation 227 10.4.1 Frequency-domain channel estimation 228 10.4.2 Time-frequency interpolation Practical MIMO examples 232 11.1 WiFi 232 11.1.1 Overview of ieee 802.11n 32 11. 1. 2 802.1In packet structure 235 11.1.3 802.1In ht transmitter architecture 237 11.1.4 Space-time block coding in 802.1In 242 11.1.5 OFDM in802.11n ) 【实例截图】
【核心代码】
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