Communication and Localization in UWB Sensor Networks

Heinrich Lücken

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Heinrich Lücken, Communication and Localization in UWB Sensor Networks (2013), Logos Verlag, Berlin, ISBN: 9783832598945

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Description / Abstract

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.

Table of content

  • BEGINN
  • 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
  • 3.5 Performance Evaluation
  • 3.6 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
  • 5.2 System Model
  • 5.3 Conventional Time-of-Arrival Estimators
  • 5.4 Problem Statement
  • 5.5 Marginal PDF of Energy Detector Output for Normally Distributed Channels
  • 5.6 Low-complexity Approximations of PDF
  • 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
  • 6.5 Performance Results
  • 6.6 Summary
  • 7 Radar Imaging based Multipath Delay Prediction
  • 7.1 Introduction
  • 7.2 System Setup and Problem Formulation
  • 7.3 Scattering Coefficient Map of Environment
  • 7.4 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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