Source Localization in Wireless Sensor Networks with Randomly Distributed Elements under Multipath Propagation Conditions

Abstract

This thesis proposes a least-squares error estimator for line-of-sight, direction of arrival-based localization and a hybrid source localization scheme that addresses multipath propagation for non-cooperative sources using random arrays of wireless sensors. Taking advantage of the dominant reflections, the proposed solution finds the location of a signal source by triangulation using the direction of arrival estimations of both the line-of-sight and the reflected components. It uses a space division multiple access, spread spectrum-based receiver to generate the direction of arrival estimates. The time difference of arrival information is used to discriminate between the line-of-sight and the non-line-of-sight signals and to associate the incoming multipath signal with the corresponding source and reflector pair. In special cases, the proposed scheme is capable of solving the association problem spatially without the need for time difference of arrival information. Simulation results are included to demonstrate that the proposed scheme provides improved estimates by exploiting the non-line-of-sight information.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA497244

Entities

People

  • Georgios Tsivgoulis

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Sensors

DTIC Thesaurus Topics

  • Angle Of Arrival
  • Databases
  • Electrical Engineering
  • Electromagnetic Wave Propagation
  • Frequency
  • Information Science
  • Kalman Filters
  • Line Of Sight
  • Mathematical Filters
  • Monte Carlo Method
  • Multiple Access
  • Radio Communications
  • Signal Processing
  • Simulations
  • Statistical Analysis
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.

Technology Areas

  • Space