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Localization algorithm performance in ultra low power active RFID based patient tracking

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4 Author(s)
W. P. L. Cully ; ECIT Institute, Queen's University of Belfast, United Kingdom ; S. L. Cotton ; W. G. Scanlon ; J. B. McQuiston

Indoor personnel localization research has generated a range of potential techniques and algorithms. However, these typically do not account for the influence of the user's body upon the radio channel. In this paper an active RFID based patient tracking system is demonstrated and three localization algorithms are used to estimate the location of a user within a modern office building. It is shown that disregarding body effects reduces the accuracy of the algorithms' location estimates and that body shadowing effects create a systematic position error that estimates the user's location as closer to the RFID reader that the active tag has line of sight to.

Published in:

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications

Date of Conference:

11-14 Sept. 2011