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Cover image for Ultra-wideband wireless communications and networks
Title:
Ultra-wideband wireless communications and networks
Publication Information:
Chichester : Wiley, 2006
ISBN:
9780470011447

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30000010098214 TK5103.4 U57 2006 Open Access Book Book
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30000010150305 TK5103.4 U57 2006 Open Access Book Book
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Summary

Summary

Learn about Ultra-wideband (UWB) transmission - the most talked about application in wireless communications.

UWB wireless communication is a revolutionary technology for transmitting large amounts of digital data over a wide spectrum of frequency bands with very low power for a short distance. This exciting new text covers the fundamental aspects of UWB wireless communications systems for short-range communications. It also focuses on more advanced information about networks and applications. Chapters include: Radio Propagation and Large Scale Variations, Pulse Propagation and Channel Modelling, MIMO (Multiple Input, Multiple Output) RF Subsystems and Ad Hoc Networks.

Focuses on UWB wireless communications rather than UWB radar, which has been covered before. Provides long and short-term academic and technological value. Teaches readers the fundamentals, challenges and up-to-date technical processes in this field.


Author Notes

Professor Xuemin Shen works in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. His research interests are Wireless/Internet interworking, Resource and mobility management, Voice over mobile IP, WiFi, WAP, Bluetooth, UWB wireless applications, ad hoc wireless networks.

Dr. Mohsen Guizani is Professor and Chair of the Department of Computer Science at Western Michigan university. Dr. Guizani's research interests include Computer Networks, Wireless Communications and Computing, Design and Analysis of Computer Systems, and Optical Networking. He is the founder and Editor-In-Chief of Wireless Communications and Mobile Computing Journal, published by John Wiley.

Professor Robert Caiming works in the Center for Manufacturing Research/Electrical and Computer Engineering Department at Tennessee Technological University, USA. His research interests include Wireless communications and systems (3G, 4G, UWB), Radar/communications signal processing and Time-domain Electromagnetics.

Professor Tho Le-Ngoc works in the Department of Electrical and Computer Engineering at McGill University. His research interests include Broadband Communications: Advanced Transmission, Multiple-Access and Dynamic Capacity Allocation Techniques.


Table of Contents

Robert Caiming Qiu and Xuemin (Sherman) Shen and Mohsen Guizani and Tho Le-NgocUzoma A. Onunkwo and Ye (Geoffrey) LiRobert Caiming QiuZhi Tian and Georgios B. GiannakisHuaping LiuSebastian Hoyos and Brian M. SadlerZhengyuan XuZihua Quo and Richard YaoXuemin (Sherman) Shen and Weihua Zhuang and Hai Jiang and Jun CaiJay E. PadgettLiuqing Yang and Georgios B. GiannakisKegen Yu and Harri Saarnisaari and Jean-Philippe Montillet and Alberto Rabbachin and Ian Oppermann and Giuseppe Thadeu Freitas de Abreu
List of Contributorsp. xi
Prefacep. xiii
1 Introductionp. 1
1.1 Fundamentalsp. 1
1.1.1 Overview of UWBp. 1
1.1.2 Historyp. 2
1.1.3 Regulatoryp. 2
1.1.4 Applicationsp. 2
1.1.5 Pulse- or Multicarrier-Based UWBp. 3
1.2 Issues Unique to UWBp. 4
1.2.1 Antennasp. 4
1.2.2 Propagation and Channel Modelp. 4
1.2.3 Modulationsp. 5
1.2.4 A/D Samplingp. 6
1.2.5 Timing Acquisitionp. 7
1.2.6 Receiver Structuresp. 7
1.2.7 Multiple Accessp. 8
1.3 Emerging Technologiesp. 8
1.3.1 Low-Complexity Noncoherent Receiversp. 8
1.3.2 Location-Based Sensor Networksp. 9
1.3.3 Time Reversalp. 9
1.3.4 MACp. 10
1.3.5 Future Directionsp. 12
Referencesp. 13
2 Modulation and Signal Detection in UWBp. 15
2.1 Overviewp. 15
2.1.1 Evolution and Definitionp. 15
2.1.2 Major Differences from Narrowband and CDMA Systemsp. 16
2.1.3 Types of UWB Modulationp. 16
2.1.4 UWB Applicationsp. 16
2.2 Single-Carrier-Based Modulationp. 17
2.2.1 Time-Hopping PPMp. 17
2.2.2 Other Types of Modulationsp. 21
2.2.3 Channel Estimationp. 23
2.2.4 Signal Detectionp. 27
2.3 OFDM-Based Modulationp. 29
2.3.1 Basic OFDM for UWBp. 29
2.3.2 Channel Estimationp. 30
2.3.3 Interference Suppressionp. 31
2.4 Conclusion and Further Readingp. 34
Referencesp. 34
3 UWB Pulse Propagation and Detectionp. 37
3.1 Introductionp. 37
3.2 UWB Pulse Propagationp. 37
3.2.1 Generalized Multipath Modelp. 37
3.2.2 IEEE 802.15.4a Channel Modelp. 39
3.3 UWB Pulse Signal Detectionp. 39
3.3.1 Optimum Receiverp. 39
3.3.2 Generalized Rake Receiverp. 41
3.3.3 Optimum Receiver with Intersymbol Interferencep. 44
3.3.4 Receiver with Time-Reversal Channel Impulse Responsep. 47
3.3.5 Optimum Receiver with Multiuser Detectionp. 48
Referencesp. 51
4 Timing Synchronization for UWB Impulse Radiosp. 53
4.1 Introductionp. 53
4.2 Signal Modelp. 55
4.3 Signal Detection and Symbol-Level Acquisitionp. 57
4.3.1 Analog Energy Detectorsp. 57
4.3.2 Discrete-Time Energy Detectorsp. 57
4.4 SAT and MAT: Templates with and without Timingp. 59
4.5 Coarse Synchronization Using Symbol-Rate Samplesp. 60
4.5.1 Discrete-Time Correlator Output Model under Mistimingp. 61
4.5.2 CML Timing Synchronizationp. 62
4.5.3 Analytic and Simulated Performancep. 62
4.6 Synchronization with Flexible Timing Resolutionp. 64
4.6.1 Timing-Offset Search via Sample Mean Squarep. 64
4.6.2 Timing-Offset Search via Cross-Correlation Mean Squarep. 66
4.6.3 Comparative Study and Implementation Aspectsp. 68
4.7 Timing Acquisition for Ad Hoc Multiple Accessp. 70
4.7.1 Training-Based Multiuser TOEp. 70
4.7.2 Blind Synchronization for Multiuser Ad Hoc Accessp. 71
4.7.3 TOE Performance Analysisp. 75
4.8 Demodulation and BER Sensitivity to Mistimingp. 76
4.9 Concluding Summaryp. 78
Referencesp. 79
5 Error Performance of Pulsed Ultra-wideband Systems in Indoor Environmentsp. 83
5.1 Introductionp. 83
5.2 System Modelp. 85
5.3 Error Performance in Indoor Environmentsp. 89
5.3.1 Pulse Amplitude Modulation and Pulse Position Modulationp. 90
5.3.2 Receiver with Self-Derived Template Waveformsp. 92
5.3.3 System with Multiple Antennasp. 95
Referencesp. 101
6 Mixed-Signal Ultra-wideband Communications Receiversp. 103
6.1 Introductionp. 103
6.2 Analog-to-Digital Conversion via Signal Expansionp. 105
6.3 Mixed-Signal Communication Receivers Based on A/D Conversion via Signal Expansionp. 107
6.3.1 Transmitted Signal and Channel Modelp. 107
6.3.2 Digital Linear Receivers Based on ADC via Signal Expansionp. 107
6.4 Analog-to-Digital Conversion in the Frequency Domainp. 109
6.5 Frequency-Domain Mixed-Signal Receiversp. 111
6.5.1 Multicarrier Communication Systems Based on A/D Conversion in the Frequency Domainp. 111
6.5.2 Relationship to the Fourier Series Coefficientsp. 117
6.5.3 Mixed-Signal Transmitted-Reference Receiverp. 118
6.6 Conclusionsp. 124
Referencesp. 125
7 Trends in Ultra-wideband Transceiver Designp. 127
7.1 Introductionp. 127
7.2 Status of UWB Transceiver Designp. 128
7.3 Digital UWB Receiversp. 130
7.3.1 PPM-Based TH-UWB System Modelp. 131
7.3.2 Channel Estimation Techniquesp. 132
7.3.3 Design of Linear Receiversp. 133
7.3.4 Some Thoughts about Complexity Reductionp. 134
7.3.5 Finite Resolution Digital Receiversp. 135
7.4 Analog/Digital UWB Transceiversp. 136
7.4.1 Near Full-Rate TR Transceiversp. 136
7.4.2 Full-Rate TR Transceiversp. 144
7.5 Conclusionsp. 149
Acknowledgmentsp. 149
Referencesp. 149
8 UWB MAC and Ad Hoc Networksp. 155
8.1 Introductionp. 155
8.1.1 Overview of IEEE 802.15.3 MACp. 155
8.1.2 Overview of MBOA MACp. 157
8.2 QoS Scheduling in PNCp. 158
8.2.1 Problem Definitionp. 159
8.2.2 Deadline-Aware Scheduling Algorithmp. 160
8.2.3 Calculation of the Reserved CTAp. 161
8.2.4 Simulation Resultsp. 161
8.3 Power Management in IEEE 802.15.3p. 163
8.3.1 Problem Definitionp. 164
8.3.2 Proposed Approachp. 165
8.3.3 Simulation Resultsp. 167
8.4 Adaptive Dly-ACKp. 168
8.4.1 Problem Definitionp. 170
8.4.2 Adaptive Dly-ACKp. 172
8.4.3 Simulation Resultsp. 177
8.5 Ad Hoc Networksp. 183
8.5.1 Child Piconetp. 183
8.5.2 Independent Piconetsp. 184
8.6 Summaryp. 187
Referencesp. 187
9 Radio Resource Management for Ultra-wideband Communicationsp. 189
9.1 Introductionp. 189
9.2 Radio Resource Managementp. 191
9.2.1 Pulse-Based UWB Physical Layer Characteristicsp. 191
9.2.2 Challenges and Opportunitiesp. 192
9.3 Multiple Accessp. 193
9.3.1 Exclusive versus Concurrent Transmissionsp. 193
9.3.2 Code Assignmentp. 194
9.3.3 Interference Mitigation in TH-UWBp. 196
9.4 Overhead Reductionp. 197
9.4.1 ACK Mechanismsp. 198
9.4.2 Long Acquisition Timep. 199
9.5 Power/Rate Allocationp. 200
9.5.1 Power Allocationp. 200
9.5.2 Rate Guaranteep. 202
9.5.3 Rate Controlp. 203
9.5.4 Cross-Layer Designp. 205
9.6 Conclusionsp. 206
Referencesp. 207
10 Pulsed UWB Interference to Narrowband Receiversp. 211
10.1 Introductionp. 211
10.2 Pulsed UWB Signal Modelp. 212
10.3 Narrowband Receiver Modelp. 216
10.4 Equivalent Receiver Model and Response to a Pulsep. 218
10.5 Response to a Pulse Sequencep. 220
10.6 Simulating the Response to a Pulse Sequencep. 223
10.6.1 I/Q Component Formulationp. 223
10.6.2 Simulation Parametersp. 224
10.6.3 Normalizationp. 224
10.6.4 Example Filter Response: The n-Pole Filterp. 225
10.7 General Properties of the IF Outputp. 227
10.7.1 Case 1: Pulse Rate Less than IF Bandwidthp. 111
10.7.2 Case 2: Pulse Rate Greater than IF Bandwidthp. 228
10.8 Power Spectral Densityp. 230
10.9 Discrete PDF PSD Example: Equally Spaced, Equally Likely Time Offsetsp. 233
10.10 Continuous PDF PSD Examplesp. 239
10.10.1 The Poisson Processp. 239
10.10.2 Continuous PDF Uniform Random Pulse Positionp. 240
10.11 Comparison of PSD and Simulation Resultsp. 242
10.12 Statistical Properties of the Output Envelopep. 247
10.13 Summaryp. 249
Referencesp. 250
11 Digital-Carrier Spreading Codes for Baseband UWB Multiaccessp. 251
11.1 Introductionp. 251
11.2 Digital-Carrier Multiband User Codesp. 252
11.2.1 Baseband Single-Carrier UWBp. 252
11.2.2 Baseband Multicarrier UWBp. 254
11.3 Low Duty-Cycle Access in the Presence of NBIp. 255
11.3.1 General Rake Reception Modelp. 255
11.3.2 SINR Analysisp. 259
11.3.3 Simulations and Numerical Resultsp. 260
11.4 Improved Rate Access in the Presence of Multipathp. 263
11.4.1 Rake Reception Model with IFIp. 263
11.4.2 Performance Comparisonsp. 266
11.4.3 Simulated Examplesp. 271
11.5 Multiuser Interference Mitigationp. 273
11.6 Summaryp. 276
Referencesp. 276
12 Localizationp. 279
12.1 Introductionp. 279
12.2 Time-of-Arrival Estimationp. 279
12.2.1 Estimation Accuracyp. 280
12.2.2 Energy-Collection-Based TOA Estimationp. 281
12.2.3 Two-Stage TOA Estimationp. 282
12.2.4 Simulation Resultsp. 286
12.3 Location and Trackingp. 286
12.3.1 Position Estimationp. 287
12.3.2 Trackingp. 292
12.3.3 Simulation Resultsp. 292
12.4 Location in Distributed Architecturesp. 294
12.4.1 Overviewp. 294
12.4.2 Proposed Algorithmp. 295
12.4.3 Simulation Resultsp. 296
12.5 Theoretical Positioning Accuracyp. 297
12.5.1 Analysis Toolp. 298
12.5.2 Hyperbolic Location Accuracyp. 299
12.6 Conclusionsp. 301
Acknowledgmentp. 301
Referencesp. 301
Indexp. 305
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