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180203s2013 gw o 000 0 eng d |
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|a EBLCP
|b eng
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|a 1022079156
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|a 9783832598945
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|a 3832598944
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|z 9783832533328
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|a (OCoLC)1021808058
|z (OCoLC)1022079156
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|a TK5103.4
|b .L354 2013
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|a 621.384
|2 23
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|a UAMI
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|a Lücken, Heinrich.
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|a Communication and Localization in UWB Sensor Networks :
|b a Synergetic Approach.
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|a Berlin :
|b Logos Verlag Berlin,
|c 2013.
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|a 1 online resource (198 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Series in Wireless Communications Ser. ;
|v v. 17
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|a Print version record.
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|a Intro; 1 Introduction; 1.1 Motivation; 1.2 Ultra-Wideband Technology; 1.3 Contributions; 2 Low Power, Low Complexity, Low Cost -- High Bandwidth?; 2.1 Non-coherent Ultra-Wideband Systems; 2.2 Generalized Energy Detection Receiver; 3 Optimized Data Transmission; 3.1 Location-aware Adaptation and Precoding; 3.2 System Model; 3.3 Signal-to-Interference-and-Noise Ratio; 3.4 Optimization of Transmitter or Receiver; 3.4.1 Full channel knowledge; 3.4.2 Solution to Optimization Problems; 3.4.3 Statistical channel knowledge; 3.5 Performance Evaluation; 3.5.1 Simulation results based on channel model.
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|a 3.5.2 Measured Channels3.6 Implementation Issues and Complexity Analysis; 3.7 Conclusion; 4 Multiuser Precoding; 4.1 Dense Networks: Low data rate despite Gigahertz bandwidth; 4.2 System Model; 4.3 Signal-to-Interference-and-Noise Ratio for Multiuser Transmission; 4.4 Precoding Optimization; 4.5 Performance Evaluation; 4.6 Conclusions; 5 Maximum Likelihood Timing Estimation; 5.1 Introduction; 5.1.1 Localization in UWB Sensor Networks; 5.1.2 Channel Model for Localization based on Time of Arrival; 5.1.3 Position Estimation; 5.2 System Model; 5.3 Conventional Time-of-Arrival Estimators.
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|a 5.4 Problem Statement5.5 Marginal PDF of Energy Detector Output for Normally Distributed Channels; 5.6 Low-complexity Approximations of PDF; 5.6.1 Gaussian Approximation; 5.6.2 Log-Normal Approximation; 5.7 Performance Results; 5.8 Summary; 6 Spectral Timing Estimation; 6.1 Introduction; 6.2 System Model; 6.3 Input Output Relation; 6.4 Multipath Environment; 6.4.1 Channel Model; 6.4.2 Transmit Pulse; 6.4.3 Estimation Bias and Variance; 6.5 Performance Results; 6.6 Summary; 7 Radar Imaging based Multipath Delay Prediction; 7.1 Introduction; 7.2 System Setup and Problem Formulation.
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|a 7.3 Scattering Coefficient Map of Environment7.4 Channel Response Prediction; 7.5 Performance Evaluation of Multipath Prediction; 7.6 Conclusions; 8 Measurements and Experimental Results; 8.1 Introduction; 8.2 Channel Measurements; 8.3 High Precision Measurement System; 8.4 Integrated low-cost/high-speed Measurement System; 8.5 Office Environment Measurement Campaign; 8.6 Multipath Delay Prediction; 8.7 Position Estimation Accuracy; 8.8 Performance of Location-aware Communication; 8.9 Summary; 9 Conclusions and Outlook; 9.1 Conclusions; 9.2 Outlook on Future Research.
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|a Annotation
|b In this thesis, a novel sensor network paradigm is proposed and studied, inspired by the fusion of wireless communication, localization and imaging. Wireless sensor networks will open a fascinating world of ubiquitous and seamless connectivity not only between individuals but also between devices and objects in our daily life. The key to this vision is a universal low-power, low-complexity and low-cost transceiver unit that provides scalable data communication as well as location and environmental information. Ultra-Wideband (UWB) technology with its rich design space can meet the challenging requirements of future wireless sensor networks. This is the consequence of a paradigm shift compared to narrowband communication: due to the huge bandwidth available, we can trade off bandwidth efficiency against other figures of merit. The major design criterion is not data rate anymore, but rather power consumption and hardware complexity. Within the group of hardware-aware system designs, UWB impulse radio with energy detection receivers are of particular relevance and well known for their efficient implementation. The contribution of this thesis is the comprehensive study of sensor networks with generalized energy detection receivers, where we focus on innovative and efficient approaches for communication and localization and their synergy.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Ultra-wideband communication systems.
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650 |
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7 |
|a Ultra-wideband communication systems
|2 fast
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776 |
0 |
8 |
|i Print version:
|a Lücken, Heinrich.
|t Communication and Localization in UWB Sensor Networks : A Synergetic Approach.
|d Berlin : Logos Verlag Berlin, ©2013
|z 9783832533328
|
830 |
|
0 |
|a Series in Wireless Communications Ser.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5219751
|z Texto completo
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938 |
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|a ProQuest Ebook Central
|b EBLB
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|a YBP Library Services
|b YANK
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