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Enhancing the accuracy of radio tomographic imaging using channel diversity (2012)
| Venue: | in 9th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS |
| Citations: | 27 - 17 self |
BibTeX
@INPROCEEDINGS{Kaltiokallio12enhancingthe,
author = {Ossi Kaltiokallio and Maurizio Bocca and Neal Patwari},
title = {Enhancing the accuracy of radio tomographic imaging using channel diversity},
booktitle = {in 9th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS},
year = {2012}
}
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Abstract
Abstract—Radio tomographic imaging (RTI) is an emerging device-free localization (DFL) technology enabling the localization of people and other objects without requiring them to carry any electronic device. Instead, the RF attenuation field of the deployment area of a wireless network is estimated using the changes in received signal strength (RSS) measured on links of the network. This paper presents the use of channel diversity to improve the localization accuracy of RTI. Two channel selection methods, based on channel packet reception rates (PRRs) and fade levels, are proposed. Experimental evaluations are performed in two different types of environments, and the results show that channel diversity improves localization accuracy by an order of magnitude. People can be located with average error as low as 0.10 m, the lowest DFL location error reported to date. We find that channel fade level is a more important statistic than PRR for RTI channel selection. Using channel diversity, this paper, for the first time, demonstrates that attenuation-based through-wall RTI is possible. Index Terms—device-free localization, radio tomographic imaging, wireless sensor network I.
Keyphrases
channel diversity localization accuracy received signal strength experimental evaluation channel packet reception rate radio tomographic imaging index term device-free localization average error rti channel selection device-free localization deployment area rf attenuation field wireless network dfl location error electronic device abstract radio tomographic imaging fade level attenuation-based through-wall rti channel selection method different type wireless sensor network channel fade level first time important statistic
