UWB Timing Synchronization Using Dirty Templates

Abstract

Precise localization and reliable exchange of information among distributed sensors, soldiers and unmanned aerial/ground vehicles (UAVs/UGVs) are important for tactical communications. To this end, Ultra-Wideband (UWB) technology emerges as a promising candidate, providing high performance wireless links with low complexity and low probability of detection (LPD). Rapid timing synchronization constitutes a major challenge in realizing these promises. Synchronization faces accentuated difficulties in the UWB regime because its waveforms are impulse-like and have low amplitude, and the propagation channel is unknown at the receiver. These explain why synchronization has attracted so much interest in UWB research 3, 1, 4, 6, 5. But each of existing approaches requires a number of restrictive assumptions. Without invoking any of the assumptions required by existing algorithms, we develop timing algorithms that remain operational in general UWB settings with fast time hopping (TH), unknown multipath propagation and even when multiple users are present. Our synchronizers rely on symbol-rate samples and thus entail low complexity. Most existing synchronizers are based on the unique maximum of the received pulse s autocorrelation function, which requires a clean template of the received pulse to be available. The latter is not feasible when the multipath channel is unknown. Our novel criterion relies on the unique maximum that emerges by cross correlating dirty templates extracted from the received waveform. These dirty templates render channel information unnecessary since it is embedded in the received waveform.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA431931

Entities

People

  • Georgios B. Giannakis
  • Liuqing Yang

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Amplitude Modulation
  • Channel Estimation
  • Demodulation
  • Frequency
  • Gaussian Noise
  • Ground Vehicles
  • Modulation
  • Multipath Channels
  • Multiple Access
  • Pulse Amplitude
  • Pulse Amplitude Modulation
  • Sensor Networks
  • Template Patterns
  • Training
  • Waveforms

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Radio communications and signal processing.

Technology Areas

  • Autonomy