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dRTI: Directional Radio Tomographic Imaging
University of New South Wales, Sydney, Australia and CSIRO, Brisbane, Australia and SICS, Stockholm, Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication.
University of Utah, Salt Lake City and Xandem Technology, Salt Lake City.
University of New South Wales, Sydney, Australia and CSIRO, Brisbane, Australia and SICS, Stockholm, Sweden.
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2015 (English)In: Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015, 166-177 p.Conference paper (Refereed)
Abstract [en]

Radio tomographic imaging (RTI) enables device free localisation of people and objects in many challenging environments and situations. Its basic principle is to detect the changes in the statistics of radio signals due to the radio link obstruction by people or objects. However, the localisation accuracy of RTI suffers from complicated multipath propagation behaviours in radio links. We propose to use inexpensive and energy efficient electronically switched directional (ESD) antennas to improve the quality of radio link behaviour observations, and therefore, the localisation accuracy of RTI. We implement a directional RTI (dRTI) system to understand how directional antennas can be used to improve RTI localisation accuracy. We also study the impact of the choice of antenna directions on the localisation accuracy of dRTI and propose methods to effectively choose informative antenna directions to improve localisation accuracy while reducing overhead. Furthermore, we analyse radio link obstruction performance in both theory and simulation, as well as false positives and false negatives of the obstruction measurements to show the superiority of the directional communication for RTI. We evaluate the performance of dRTI in diverse indoor environments and show that dRTI significantly outperforms the existing RTI localisation methods based on omni-directional antennas.

Place, publisher, year, edition, pages
2015. 166-177 p.
, IPSN ’15
National Category
Computer Systems
URN: urn:nbn:se:uu:diva-252426DOI: 10.1145/2737095.2737118OAI: oai:DiVA.org:uu-252426DiVA: diva2:810260
Available from: 2015-05-06 Created: 2015-05-06 Last updated: 2015-12-16

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Varshney, AmbujVoigt, Thiemo
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Computer Architecture and Computer Communication
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