Use of negative information in positioning and tracking algorithms

Michele Albano; Senka Hadzic; Jonathan Rodriguez

doi:10.1007/s11235-013-9698-x

Use of negative information in positioning and tracking algorithms

Michele Albano^*, Senka Hadzic, Jonathan Rodriguez

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

3 Citations (Scopus)

Abstract

To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.

Original language	English
Journal	Telecommunication Systems
Volume	53
Issue number	3
Pages (from-to)	285-298
Number of pages	14
ISSN	1018-4864
DOIs	https://doi.org/10.1007/s11235-013-9698-x
Publication status	Published - 12 Jul 2013
Externally published	Yes

Keywords

Data fusion
Distance estimation

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title = "Use of negative information in positioning and tracking algorithms",

abstract = "To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.",

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AU - Albano, Michele

AU - Hadzic, Senka

AU - Rodriguez, Jonathan

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N2 - To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.

AB - To avoid additional hardware deployment, indoor localization systems have to be designed in such a way that they rely on existing infrastructure only. Besides the processing of measurements between nodes, localization procedure can include the information of all available environment information. In order to enhance the performance of Wi-Fi based localization systems, the innovative solution presented in this paper considers also the negative information. An indoor tracking method inspired by Kalman filtering is also proposed.

KW - Data fusion

KW - Distance estimation

UR - http://www.scopus.com/inward/record.url?scp=84887999452&partnerID=8YFLogxK

U2 - 10.1007/s11235-013-9698-x

DO - 10.1007/s11235-013-9698-x

M3 - Journal article

AN - SCOPUS:84887999452

SN - 1018-4864

VL - 53

SP - 285

EP - 298

JO - Telecommunication Systems

JF - Telecommunication Systems

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ER -

Use of negative information in positioning and tracking algorithms

Abstract

Keywords

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