The ubiquitous signal processing: applications to communications ; spectral analysis and array processing
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Uppsala
Uppsala Univ. Library
2001
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| Schriftenreihe: | Acta Universitatis Upsaliensis
Uppsala dissertations from the Faculty of Science and Technology ; 34 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Uppsala, Univ., Diss., 2002 |
| Beschreibung: | 308 S. Ill., graph. Darst. : 24,5 cm |
| ISBN: | 9155451764 |
Internformat
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| 245 | 1 | 0 | |a The ubiquitous signal processing |b applications to communications ; spectral analysis and array processing |c Erik G. Larsson |
| 264 | 1 | |a Uppsala |b Uppsala Univ. Library |c 2001 | |
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Datensatz im Suchindex
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| adam_text | ERIK G. LARSSON THE UBIQUITOUS SIGNAL PROCESSING APPLICATIONS TO
COMMUNICATIONS, SPECTRAL ANALYSIS AND ARRAY PROCESSING UPPSALA
UNIVERSITET CONTENTS CONTENTS 1 INTRODUCTION 11 1.1 THE UBIQUITOUS
SIGNAL PROCESSING 11 1.1.1 APPLICATIONS TO COMMUNICATIONS 11 1.1.2
APPLICATIONS TO SPECTRAL ANALYSIS 15 1.1.3 APPLICATIONS TO ARRAY
PROCESSING 17 1.2 THESIS CONTRIBUTIONS 19 1.3 OTHER CONTRIBUTIONS 25 1.4
TOPICS FOR FUTURE RESEARCH 27 1 APPLICATIONS TO COMMUNICATIONS 31 2
SPACE-TIME BLOCK CODES: ML DETECTION FOR UNKNOWN CHANNELS AND
UNSTRUCTURED INTERFERENCES 33 2.1 INTRODUCTION 33 2.2 DATA MODEL 34 2.3
ML DETECTION 36 2.3.1 COHERENT ML 37 2.3.2 EXACT ML: UNKNOWN H AND Q 38
2.3.3 TRAINING-BASED ML 39 2.3.4 CYCLIC ML 40 2.4 SOFT INFORMATION
TRANSFER 40 2.4.1 KNOWN H, Q 41 2.4.2 UNKNOWN H, Q 43 2.5 OPTIMAL
TRAINING 44 2.6 NUMERICAL EXAMPLES 45 2.7 CONCLUSION 51 2.A PROOF OF
LEMMA 2.1 51 2.A.1 WHITE NOISE (Q = A 2 L) . 51 2.A.2 COLORED NOISE
(GENERAL Q) 52 2.B PROOF OF LEMMA 2.2 53 2.C PROOF OF LEMMA 2.3 54 2.D
PROOF OF LEMMA 2.4 56 2.E PROOF OF LEMMA 2.5 56 SPACE-TIME BLOCK CODING
FOR FREQUENCY SELECTIVE CHAN- NELS 59 3.1 INTRODUCTION 59 3.2 SPACE-TIME
BLOCK CODING (STBC) . 62 3.3 TIME-REVERSAL SPACE-TIME BLOCK CODING
(TR-STBC) . . . . 64 3.4 RECEIVER STRUCTURES 67 3.4.1 THE MATRIX MATCHED
FILTER 67 3.4.2 AN MMSE EQUALIZER 69 3.4.3 APPROXIMATE
MAXIMUM-LIKELIHOOD (ML) DETECTION . 70 3.4.4 THE RELATIONSHIP BETWEEN
TR-STBC TRANSMIT DI- VERSITY AND RECEIVE DIVERSITY 73 3.5 NUMERICAL
EXAMPLES 74 3.6 CONCLUSIONS 82 3.A TR-STBC FOR MORE THAN TWO TRANSMIT
ANTENNAS 82 3.B THE DIVERSITY ORDER OF TR-STBC 83 3.B.1 KNOWN CHANNEL 85
3.B.2 ESTIMATED CHANNEL 87 MAXIMUM-LIKELIHOOD DETECTION AND DECODING FOR
SPACE- TIME CODING SYSTEMS 89 4.1 INTRODUCTION 89 4.2 SYSTEM MODEL 91
4.3 ML DECODING 95 4.4 ML DETECTION 97 4.4.1 DETERMINISTIC CHANNEL AND
WHITE NOISE 97 4.4.2 DETERMINISTIC CHANNEL AND COLORED NOISE 98 4.4.3
STOCHASTIC CHANNEL AND WHITE NOISE 98 4.5 NUMERICAL EXAMPLES 102 4.6
CONCLUDING REMARKS 107 JOINT SYMBOL TIMING AND CHANNEL ESTIMATION FOR
OFDM BASED WLANS 109 5.1 OFDM 109 5.2 ML CHANNEL ESTIMATION . 112 5.3
JOINT TIMING AND CHANNEL ESTIMATION 112 5.4 PHASE CORRECTION BASED ON
PILOT SYMBOLS 113 5.5 NUMERICAL EXAMPLES 114 5.6 CONCLUDING REMARK * 119
CONTENTS 5 6 PREAMBLE DESIGN FOR MULTIPLE-ANTENNA OFDM BASED WLANS WITH
NULL SUBCARRIERS 121 6.1 INTRODUCTION 121 6.2 CHANNEL ESTIMATION 123 6.3
KEY RESULT 125 6.4 DESIGN EXAMPLES 128 6.5 CONCLUDING REMARKS 130 II
APPLICATIONS TO SPECTRAL ANALYSIS 131 7 ADAPTIVE FILTERBANK APPROACH TO
RESTORATION AND SPECTRAL ANALYSIS OF GAPPED DATA 133 7.1 INTRODUCTION
134 7.2 APES FOR FULL DATA 135 7.3 GAPES FOR GAPPED DATA 139 7.4
POSSIBLE EXTENSIONS 143 7.5 NUMERICAL EXAMPLES 144 7.6 CONCLUDING
REMARKS 156 7.A A SUFFICIENT CONDITION FOR (7.32) TO EXIST 156 8
AMPLITUDE SPECTRUM ESTIMATION FOR TWO-DIMENSIONAL GAPPED DATA 157 8.1
INTRODUCTION 157 8.2 PROBLEM FORMULATION 160 8.3 2D FILTERING AND SOME
NOTATION 161 8.4 APES FOR FULL DATA 163 8.5 GAPPED-DATA APES (GAPES) 166
8.6 NUMERICAL EXAMPLES 173 8.7 CONCLUDING REMARKS 190 9 FAST
IMPLEMENTATION OF TWO-DIMENSIONAL APES AND CAPON SPECTRAL ESTIMATORS 191
9.1 INTRODUCTION 191 9.2 APES, CAPON AND SOME NOTATION 193 9.3 FAST
IMPLEMENTATIONS 194 9.4 NUMERICAL EXAMPLES 200 9.5 CONCLUSIONS 206 9.A
PROOF OF LEMMA 9.2 206 9.B PROOF OF LEMMA 9.3 208 9.C PROOF OF LEMMA 9.4
209 6 10 SPECTRAL ESTIMATION VIA ADAPTIVE FILTERBANK METHODS: A UNIFIED
ANALYSIS AND A NEW ALGORITHM 213 10.1 INTRODUCTION 213 10.2 ADAPTIVE
FILTERBANK METHODS 214 10.3 A UNIFIED PERFORMANCE ANALYSIS 216 10.4 A
NEW FILTERBANK SPECTRAL ESTIMATOR 217 10.5 NUMERICAL EXAMPLES 222 10.6
CONCLUDING REMARKS 228 10.A PROOF OF LEMMA 10.1 228 10.B PROOF OF LEMMA
10.2 230 10.C PROOF OF LEMMA 10.3 230 III APPLICATIONS TO ARRAY
PROCESSING 233 11 HIGH-RESOLUTION DIRECTION FINDING: THE MISSING DATA
CASE 235 11.1 INTRODUCTION 235 11.2 PROBLEM FORMULATION 236 11.2.1
CONVENTIONAL ARRAY MODEL 236 11.2.2 MODEL FOR AN ARRAY WITH FAILING
SENSORS 238 11.3 ESTIMATION OF R 239 11.3.1 THE AD-HOC ESTIMATE 239
11.3.2 THE ML ESTIMATE 239 11.4 DOA ESTIMATION 245 11.4.1 MUSIC 247
11.4.2 COMET 247 11.4.3 THE CRAMER-RAO BOUND 249 11.5 NUMERICAL EXAMPLES
250 11.6 CONCLUSIONS 256 LL.A PROOF OF THEOREM 11.2 256 12 ON
LINEARIZATION METHODS FOR FINDING CRAMER-RAO BOUNDS IN SIGNAL PROCESSING
263 12.1 INTRODUCTION 263 12.2 THE DERIVATION OF CRBU, IN [129] 264 12.3
THE DERIVATION OF CRBO, IN [39] 265 12.4 A SIMPLER DERIVATION OF CRB^
266 13 THE STOCHASTIC CRAMER-RAO BOUND FOR ARRAY PROCESSING 269 13.1
INTRODUCTION 269 13.2 DATA MODEL 270 13.3 THE STOCHASTIC CRB 271
CONTENTS 7 13.4 SPECIAL CASES 277 13.4.1 THE UNIFORM WHITE NOISE CASE
277 13.4.2 THE NONUNIFORM WHITE NOISE CASE 278 13.5 DISCUSSION 279 13.6
A NUMERICAL EXAMPLE 280 13.7 CONCLUDING REMARK 283 14 ON A DECOUPLED
APPROACH TO ADAPTIVE SIGNAL SEPARATION USING AN ANTENNA ARRAY 285 14.1
INTRODUCTION 285 14.2 ON A RESULT IN [103] 286 14.3 FLAW OF THE ARGUMENT
IN [103] 287 14.4 ON THE CONSISTENCY OF (14.4) 292 14.5 CONCLUDING
REMARK 294 14.A PROOF OF EQUATION (14.18) 294
|
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| illustrated | Illustrated |
| indexdate | 2024-07-09T19:11:18Z |
| institution | BVB |
| isbn | 9155451764 |
| language | English |
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| physical | 308 S. Ill., graph. Darst. : 24,5 cm |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Uppsala Univ. Library |
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| series | Acta Universitatis Upsaliensis |
| series2 | Acta Universitatis Upsaliensis : Uppsala dissertations from the Faculty of Science and Technology |
| spelling | Larsson, Erik G. Verfasser aut The ubiquitous signal processing applications to communications ; spectral analysis and array processing Erik G. Larsson Uppsala Uppsala Univ. Library 2001 308 S. Ill., graph. Darst. : 24,5 cm txt rdacontent n rdamedia nc rdacarrier Acta Universitatis Upsaliensis : Uppsala dissertations from the Faculty of Science and Technology 34 Zugl.: Uppsala, Univ., Diss., 2002 (DE-588)4113937-9 Hochschulschrift gnd-content Acta Universitatis Upsaliensis Uppsala dissertations from the Faculty of Science and Technology ; 34 (DE-604)BV009892883 34 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010202036&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Larsson, Erik G. The ubiquitous signal processing applications to communications ; spectral analysis and array processing Acta Universitatis Upsaliensis |
| subject_GND | (DE-588)4113937-9 |
| title | The ubiquitous signal processing applications to communications ; spectral analysis and array processing |
| title_auth | The ubiquitous signal processing applications to communications ; spectral analysis and array processing |
| title_exact_search | The ubiquitous signal processing applications to communications ; spectral analysis and array processing |
| title_full | The ubiquitous signal processing applications to communications ; spectral analysis and array processing Erik G. Larsson |
| title_fullStr | The ubiquitous signal processing applications to communications ; spectral analysis and array processing Erik G. Larsson |
| title_full_unstemmed | The ubiquitous signal processing applications to communications ; spectral analysis and array processing Erik G. Larsson |
| title_short | The ubiquitous signal processing |
| title_sort | the ubiquitous signal processing applications to communications spectral analysis and array processing |
| title_sub | applications to communications ; spectral analysis and array processing |
| topic_facet | Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010202036&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV009892883 |
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