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Sensors 2016, 16(10), 1570; doi:10.3390/s16101570

Assessment of Receiver Signal Strength Sensing for Location Estimation Based on Fisher Information

Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB T2N-1N4, Canada
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Author to whom correspondence should be addressed.
Academic Editor: Fan Ye
Received: 28 July 2016 / Revised: 9 September 2016 / Accepted: 15 September 2016 / Published: 24 September 2016
(This article belongs to the Section Physical Sensors)
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Abstract

Currently there is almost ubiquitous availability of wireless signaling for data communications within commercial building complexes resulting in receiver signal strength (RSS) observables that are typically sufficient for generating viable location estimates of mobile wireless devices. However, while RSS observables are generally plentiful, achieving an accurate estimation of location is difficult due to several factors affecting the electromagnetic coupling between the mobile antenna and the building access points that are not modeled and hence contribute to the overall estimation uncertainty. Such uncertainty is typically mitigated with a moderate redundancy of RSS sensor observations in combination with other constraints imposed on the mobile trajectory. In this paper, the Fisher Information (FI) of a set of RSS sensor observations in the context of variables related to the mobile location is developed. This provides a practical method of determining the potential location accuracy for the given set of wireless signals available. Furthermore, the information value of individual RSS measurements can be quantified and the RSS observables weighted accordingly in estimation combining algorithms. The practical utility of using FI in this context was demonstrated experimentally with an extensive set of RSS measurements recorded in an office complex. The resulting deviation of the mobile location estimation based on application of weighted likelihood processing to the experimental RSS data was shown to agree closely with the Cramer Rao bound determined from the FI analysis. View Full-Text
Keywords: indoor localization; Wi-Fi fingerprinting; wireless; localization techniques; FIM; RSS; received signal strength; radio map; fisher information; Cramer Rao bound (CRB) indoor localization; Wi-Fi fingerprinting; wireless; localization techniques; FIM; RSS; received signal strength; radio map; fisher information; Cramer Rao bound (CRB)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Nielsen, J.; Nielsen, C. Assessment of Receiver Signal Strength Sensing for Location Estimation Based on Fisher Information. Sensors 2016, 16, 1570.

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