Geometry-based channel modeling for multi-user MIMO systems and applications:
Gespeichert in:
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Ilmenau
Verl. ISLE
2007
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| Schriftenreihe: | Research reports from the Communications Research Laboratory at Ilmenau University of Technology
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 274 S. Ill., graph. Darst. |
| ISBN: | 9783938843277 |
Internformat
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| 245 | 1 | 0 | |a Geometry-based channel modeling for multi-user MIMO systems and applications |c Giovanni del Galdo |
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| 490 | 0 | |a Research reports from the Communications Research Laboratory at Ilmenau University of Technology | |
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| 650 | 7 | |a Funkübertragung |2 swd | |
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| 650 | 7 | |a Mehrwegeausbreitung |2 swd | |
| 650 | 7 | |a Ray tracing |2 swd | |
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Datensatz im Suchindex
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| adam_text | RESEARCH REPORTS FROM THE COMMUNICATIONS RESEARCH LABORATORY AT ILMENAU
UNIVERSITY OF TECHNOLOGY GIOVANNI DEL GALDO GEOMETRY-BASED CHANNEL
MODELING FOR MULTI-USER MIMO SYSTEMS AND APPLICATIONS IS|R 2007 CONTENTS
IX CONTENTS PREFACE I ACKNOWLEDGEMENTS III ABSTRACT V KURZFASSUNG VII
CONTENTS IX LIST OF FIGURES XV LIST OF TABLES XIX 1. INTRODUCTION 1 2.
MIMO SYSTEMS AND CHANNEL CHARACTERIZATION 9 2.1 DEFINITION AND
ADVANTAGES OF MIMO SYSTEMS 9 2.1.1 MIMO FOR WIRELESS COMMUNICATION
SYSTEMS 10 2.1.2 SPATIAL FILTERING 10 2.1.3 SPACE-TIME PROCESSING 13 2.2
THE DETERMINISTIC DESCRIPTION OF THE MIMO RADIO CHANNEL 13 2.2.1 THE
BELLO SYSTEM FUNCTIONS 13 2.2.2 EXTENSION OF THE BELLO SYSTEM FUNCTIONS
TO THE SPATIAL DOMAIN .... 16 2.2.2.1 POLARIZATION 21 2.2.3 THE FUELL
CHANNEL REPRESENTATION 21 2.2.3.1 POLARIZATION 25 2.2.4 THE SAMPLED MIMO
CHANNEL 27 2.3 STOCHASTIC CHARACTERIZATION 27 2.3.1 PRINCIPLES OF
STOCHASTIC PROCESSES 27 2.3.1.1 CONTINUOUS PROCESSES 28 2.3.1.2
CONTINUOUS VECTOR-VALUED PROCESSES 30 2.3.1.3 CONTINUOUS
MULTI-DIMENSIONAL PROCESSES 30 2.3.2 STOCHASTIC DESCRIPTION OF THE FUELL
MIMO RADIO CHANNEL 33 2.3.2.1 POWER DELAY PROFILE 35 2.3.2.2
AUTOCORRELATION FUNCTION IN FREQUENCY DOMAIN 36 X CONTENTS 2.3.2.3 POWER
DOPPLER PROFILE 37 2.3.2.4 AUTOCORRELATION FUNCTION IN TIME DOMAIN 39
2.3.2.5 POWER ANGULAR PROFILE 40 2.3.2.6 JOINT POWER ANGULAR PROFILES 42
2.3.2.7 AUTOCORRELATION FUNCTION IN SPATIAL DOMAIN 42 2.3.3 THE SAMPLED
CORRELATION FUNCTION 43 2.3.3.1 BIDINIENSIONAL CORRELATION MATRIX FOR
N-DIMENSIONAL PROBLEMS 44 3. MODELING APPROACHES OF THE MIMO CHANNEL 47
3.1 MOTIVATION AND CLASSIFICATION OF CHANNEL MODELS 47 3.1.1 THEORETICAL
INVESTIGATIONS 50 3.1.2 CHOOSING THE RIGHT CHANNEL MODEL 51 3.1.3
PROPAGATION SCENARIOS 51 3.1.4 ANTENNA DEPENDENCY 52 3.1.5 VALIDATION 52
3.2 ANALYTICAL CHANNEL MODELS 53 3.2.1 FUELL SPATIAL CORRELATION MATRIX
CHANNEL MODEL 54 3.2.2 THE KRONECKER CHANNEL MODEL 54 3.2.3 THE
WEICHSELBEIGER CHANNEL MODEL 56 3.3 DETERMINISTIC CHANNEL MODELS 57
3.3.1 FULL-WAVE APPROACH 58 3.3.2 GTD APPROACH 58 3.4 HYBRID CHANNEL
MODELS 59 3.4.1 COST 259 GEOMETRY-BASED STOCLIASTIC CHANNEL MODEL (GSCM)
. . . . 60 3.4.2 3GPP SPATIAL CHANNEL MODEL (SCM) 61 3.4.3 WINNER
SPATIAL CHANNEL MODEL EXTENDED (SCME) 62 3.4.4 WINNER. PHASE I CHANNEL
MODEL (WIM) 63 4. POLARIMETRIE ANTENNA RESPONSE MODELING 65 4.1 ANTEIMAS
AND THE POLARIMETRIE RADIATION PATTERNS 66 4.1.1 THE POYNTING VECTOR 67
4.1.2 ANTENNA GAIN. DIRECTIVITY FUNCTIONS, AND EFFICIENCY 67 4.1.3 LINK
BUDGET AND PATH-LOSS 70 4.1.4 POLARIMETRIE ANTENNA RADIATION PATTERN 70
4.1.5 THE POLARIMETRIE ANTENNA ARRAY RESPONSE 72 4.1.6 TYPICAL ANTENNA
ARRAYS 74 4.1.7 MEASURING AND STORING THE POLARIMETRIE RADIATION
PATTERNS 76 4.2 THE RADIATION PATTERN DESCRIPTION IN THE ANGLE DOMAIN 77
4.3 THE EFFECTIVE APERTURE DISTRIBUTION FUNCTION (EADF) 78 4.3.1 THE
DATA MODEL AND THE BASIC IDEA 78 4.3.2 THE EADF IN CHANNEL MODELING 82
4.3.3 THE EADF IN PARAMETER ESTIMATION 83 CONTENTS XI 4.3.4 LIMITS OF
THE SPHERICAL COORDINATE SYSTEM 83 4.4 THE DESCRIPTOR BASED ON THC
VECTOR SPHERICAL HARMONICS 85 4.4.1 DISTINCTION FROM RELATED WORK 85
4.4.2 THE CONTINUOUS VECTOR SPHERICAL FOURIER TRANSFORM 87 4.4.2.1 THE
LEVEL POWER SPECTRUM 91 4.4.2.2 ROTATION OF THC COORDINATE SYSTEM 91
4.4.2.3 TRANSFORM OF WHITE NOISE 93 4.4.3 THE DISCRETE VECTOR SPHERICAL
FOURIER TRANSFORM 96 4.4.3.1 THE ORTHONOIMALITY APPROACH FOR COMPUTING
THE DISCRETE VECTOR SPHERICAL FOURIER TRANSFORM (DVSFT) 97 4.4.3.2
NUMERICAL STABILITY AND COMPUTATIONAL COMPLEXITY 99 4.4.4 APPLICATION OF
THE DVSFT ON POLARIMETRIE RADIATION PATTERNS .... 100 4.4.4.1 BANDLIMITS
OF POLARIMETRIE RADIATION PATTERNS 101 4.4.4.2 COMPRESSION AND
INTERPOLATION 101 4.4.4.3 SNR ESTIMATION 104 4.4.4.4 NOISE REDUCTION VIA
THE SPHERICAL WIENER FILTER 100 4.4.4.5 COMPUTING THE ANTENNA EFFICIENCY
FOR MEASURED RADIATION PATTERNS 107 4.4.4.6 EFFICIENT ANTENNA
MEASUREMENTS 108 4.4.5 PRACTICA! CHALLENGES DURING MEASUREMENTS 109
4.4.5.1 MISPLACEMENT AND MISALIGNINEIIT OF THE ANTENNA UNDER STUDY 109
4.4.5.2 FINITE RESOLUTION OF THE STEP MOTOR . . 111 4.4.5.3 PHASE SHIRTS
INTRODUCED BY CABLES 112 4.4.5.4 OTHER MEASUREMENT DISTORTIONS 112 4.5
ANTENNA RADIATION PATTERN MODEL FOR THE ILMPROP 113 5. THE ILMPROP
CHANNEL MODEL 115 5.1 MODELING PRINCIPLC 116 5.1.1 FUELL POLARIMETRIE
CHANNEL MODELING 119 5.1.2 THE MULTI-USER CASE 120 5.1.3 OBSTACLES 120
5.1.3.1 FAST R.AY-TRACING ENGINE 121 5.1.4 CORRELATION AND TIME VARIANCC
IN THE ILMPROP 123 5.1.5 THE APPLICATIONS OF THC ILMPROP 123 5.1.6 THE
DIFFUSE MULTIPATH CONIPONENT 123 5.1.7 FITTING THE SCATTERING
COEFFICIENTS TO KNOWN PATH-LOSS MODELS .... 125 5.1.8 ILMPROP VALIDATION
127 5.1.9 COORDINATE SYSTEMS AND TRANSFORMATION MATRICES 129 5.1.9.1
HOMOGENEOUS COORDINATES AND TRANSFORMATION MATRICES . . . 131 5.2 NON
MEASUREMENT-BASED APPLICATIONS 133 5.2.1 THE ILMPROP TO COMPARE
ZERO-FORCING METHODS 134 XII CONTENTS 5.2.1.1 UNCORRELATED CHANNELS 134
5.2.1.2 CORRELATED CHANNELS 136 5.2.1.3 THE SUBSPACE-BASED GROUPING
ALGORITHM 137 5.2.1.4 IMPACT OF THE CHANNEL MODEL 141 5.2.2 THE ILMPROP
AND SCHEDULING ALGORITHMS 142 5.2.2.1 IMPACT OF THE CHANNEL MODEL 143
5.2.3 THE ILMPROP TO EVALUATC DIFFERENT RECCIVER STRATEGIES 144 5.2.3.1
IMPACT OF THE CHANNEL MODEL 148 5.2.4 THE ILMPROP TO EVALUATC THE
PERFORMANCE OF ANTENNA ARRAYS 148 5.2.4.1 IMPACT OF THE CHANNEL MODEL
154 5.2.5 THE ILMPROP TO TEST RARAMETER ESTIMATION TECHNIQUES 157
5.2.5.1 IMPACT OF THE CHANNEL MODEL 159 5.2.6 THE ILMPROP TO INVESTIGATC
SUBSPACE-BASED CHANNEL MODELS 159 5.2.6.1 THE BASIC IDEA 160 5.2.6.2
CHANNEL SYNTHESIS 162 5.2.6.3 DENOISING A MEASURED CHANNEL 164 5.2.6.4
PHYSICAL INTERPRETATION OF THE EIGENMODES 164 5.2.6.5 IMPACT OF THE
CHANNEL MODEL 168 5.2.7 OTHER ILMPROP-BASED INVESTIGATIONS 170 5.3
MEASUREMENT-BASED APPLICATIONS 171 5.3.1 THE LOCALIZATION ALGORITHM 174
5.3.1.1 THE PROBABILITY MAP INVERSION 174 5.3.1.2 SCATTERERS
IDENTIFICATION 180 5.3.1.3 THE CLUSTERING PHASE 182 5.3.2 VARIANCES OF
THE ESTIMATES: THE CRLB 182 5.3.3 3D PROBABILITY MAP COMPUTATION ON A
SYNTHETIC SCENARIO 185 5.3.3.1 THE CLUSTERING AND PROBABILITY MAP
INVERSION PHASES .... 186 5.3.4 2D PROBABILITY MAP COMPUTATION ON
MEASUREMENTS 188 5.3.5 3D PROBABILITY MAP COMPUTATION ON MEASUREMENTS
192 5.3.5.1 GENERAL DESCRIPTION OF THE MEASUREMENTS 192 5.3.5.2 THE
PROBABILITY MAP INVERSION STEP 194 5.3.5.3 THE SCATTERERS IDENTIFICATION
STEP 197 5.3.5.4 CHANNEL RECONSTRUCTION AT DIFFERENT MS POSITRONS 201
5.4 THE ILMPROP PROJECT 205 6. CONCLUDING REMARKS 207 APPENDIX A. PROOFS
AND DERIVATIONS 211 A.L NORMALIZATION FACTOR FOR THE SYMMETRIE PEBPDF
211 A.2 NORMALIZATION FACTOR FOR THE ASYMMETRIE PEBPDF 212 CONTENTS XIII
APPENDIX B. MATHEMATICAL OPERATORS AND THEIR PROPERTIES 215 B.L THE
KRONECKER PRODUCT 215 B.2 THE CROSS PRODUCT 215 B.3 THE KRONECKER DELTA
SYMBOL 215 APPENDIX C. QUADRATURES ON THE SPHERE 217 C.L THE QUADRATURE
PROBLEM FOR UNIVARIATE FUNCTIONS 217 C.2 QUADRATURES FOR THE 2-SPHERE
218 C.2.1 QUADRATURES FOR SPHERICAL HARMONICS 218 C.2.1.1 CHEBYSHEV
QUADRATURE 218 C.2.1.2 GAUSS-LEGENDRE QUADRATURE 220 C.2.1.3 LEBEDEV
QUADRATURE 222 C.2.1.4 COMPARISON OF THE DIFFERENT QUADRATURES 223
APPENDIX D. TENSOR CALCULUS 227 D.L THE N MODE VECTORS 227 D.2 MATRIX
REPRESENTATIONS 228 D.2.1 THE DE LATHAUWER UNFOLDING 228 D.2.2 THE
MATLAB-LIKE UNFOLDING 229 D.3 TENSOR OPERATORS 230 D.3.1 THE
CONCATENATION OPERATOR 230 D.3.2 THE SCALAR PRODUCT 231 D.3.3 THE N-MODE
PRODUCT 231 D.3.3.1 TENSOR OUTER PRODUCT 232 D.3.4 THE N-MODE TENSOR
INNER PRODUCT 233 D.4 PROPERTIES OF TENSORS 233 D.4.1 THE HIGHER ORDER
NORM OF A TENSOR 233 D.4.1.1 ORTHOGONALITY OF TENSORS 234 D.4.2 N-RANKS
OF TENSORS 234 D.4.3 RANK OF TENSORS 235 D.5 HIGHER ORDER SINGULAR VALUE
DECOMPOSITION (HOSVD) 235 D.5.1 MATRIX SINGULAR VALUE DECOMPOSITION IN
TENSOR NOTATION 236 D.5.2 HIGHER ORDER SINGULAR VALUE DECOMPOSITION 236
D.5.2.1 THE N-MODE SINGULAR VALUES 237 D.5.2.2 COMPUTING THE HIGHER
ORDER SINGULAR VALUE DECOMPOSITION (HOSVD) 238 D.S.3 ALTERNATIVE
REPRESENTATIONS 238 D.5.3.1 THE KRONECKER REPRESENTATION OF THE HOSVD
238 D.S.3.2 THE TUCKER DECOMPOSITION 239 D.5.4 PROPERTIES OF THE HOSVD
240 D.S.5 CANONICAL DECOMPOSITION 242 XIV CONTENTS APPENDIX E.
COORDINATE SYSTEMS 243 E.L CARTESIAN COORDINATE SYSTEM 243 E.2 POLAR
COORDINATE SYSTEM 244 E.3 HELICITY COORDINATE SYSTEM 245 APPENDIX F. THE
BD AND THE SO ALGORITHMS 247 GLOSSARY OF ACRONYMS, SYMBOLS AND NOTATION
249 BIBLIOGRAPHY 255 INDEX » 273
|
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| author_facet | Del Galdo, Giovanni |
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| dewey-raw | 621.3841 |
| dewey-search | 621.3841 |
| dewey-sort | 3621.3841 |
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| spelling | Del Galdo, Giovanni Verfasser aut Geometry-based channel modeling for multi-user MIMO systems and applications Giovanni del Galdo Ilmenau Verl. ISLE 2007 XIX, 274 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Research reports from the Communications Research Laboratory at Ilmenau University of Technology Zugl.: Ilmenau, Techn. Univ., Diss., 2007 Dreidimensionale geometrische Modellierung swd Funkübertragung swd MIMO swd Mehrwegeausbreitung swd Ray tracing swd Übertragungskanal swd (DE-588)4113937-9 Hochschulschrift gnd-content GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017046048&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Del Galdo, Giovanni Geometry-based channel modeling for multi-user MIMO systems and applications Dreidimensionale geometrische Modellierung swd Funkübertragung swd MIMO swd Mehrwegeausbreitung swd Ray tracing swd Übertragungskanal swd |
| subject_GND | (DE-588)4113937-9 |
| title | Geometry-based channel modeling for multi-user MIMO systems and applications |
| title_auth | Geometry-based channel modeling for multi-user MIMO systems and applications |
| title_exact_search | Geometry-based channel modeling for multi-user MIMO systems and applications |
| title_full | Geometry-based channel modeling for multi-user MIMO systems and applications Giovanni del Galdo |
| title_fullStr | Geometry-based channel modeling for multi-user MIMO systems and applications Giovanni del Galdo |
| title_full_unstemmed | Geometry-based channel modeling for multi-user MIMO systems and applications Giovanni del Galdo |
| title_short | Geometry-based channel modeling for multi-user MIMO systems and applications |
| title_sort | geometry based channel modeling for multi user mimo systems and applications |
| topic | Dreidimensionale geometrische Modellierung swd Funkübertragung swd MIMO swd Mehrwegeausbreitung swd Ray tracing swd Übertragungskanal swd |
| topic_facet | Dreidimensionale geometrische Modellierung Funkübertragung MIMO Mehrwegeausbreitung Ray tracing Übertragungskanal Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017046048&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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