dRTI: Directional Radio Tomographic Imaging

Bo Wei, Ambuj Varshney, Neal Patwari, Wen Hu, Thiemo Voigt, Chun Tung Chou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)
7 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Information Processing in Sensor Networks
Place of PublicationNew York, NY, USA
PublisherACM
Pages166-177
Number of pages12
ISBN (Print)9781450334754
DOIs
Publication statusPublished - 13 Apr 2015
Event14th International Conference on Information Processing in Sensor Networks - Seattle, United States
Duration: 13 Apr 201516 Apr 2015
http://ipsn.acm.org/2015/

Publication series

NameIPSN '15
PublisherACM

Conference

Conference14th International Conference on Information Processing in Sensor Networks
Abbreviated titleISPN 2015
CountryUnited States
CitySeattle
Period13/04/1516/04/15
Internet address

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