An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans

Bruno J. Silva; Gerhard P. Hancke

doi:10.1109/INDIN41052.2019.8972048

An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans

^*Corresponding author for this work

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Accurate indoor positioning is challenging due to non-line-of-sight (NLOS) conditions which cause ranging and location errors. This paper proposes an iterative algorithm to improve location accuracy in NLOS conditions caused by through-the-wall (TTW) propagation. The proposed algorithm uses a floor plan with details of walls' locations and dimensions. The algorithm reduces the NLOS range between a tag and anchors iteratively, resulting in a final location that is closer to the tag's true location than the NLOS estimated location. It is shown that the algorithm can reduce the impact of NLOS conditions on location accuracy significantly.

Original language	English
Title of host publication	Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
Publisher	IEEE
Pages	1715-1718
ISBN (Print)	9781728129273
DOIs	https://doi.org/10.1109/INDIN41052.2019.8972048
Publication status	Published - Jul 2019
Event	17th IEEE International Conference on Industrial Informatics (INDIN2019) - Aalto University, Helsinki-Espoo, Finland Duration: 22 Jul 2019 → 25 Jul 2019 https://www.indin2019.org

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
Volume	2019-July
ISSN (Print)	1935-4576
ISSN (Electronic)	2378-363X

Conference

Conference	17th IEEE International Conference on Industrial Informatics (INDIN2019)
Abbreviated title	INDIN'19
Place	Finland
City	Helsinki-Espoo
Period	22/07/19 → 25/07/19
Internet address	https://www.indin2019.org

Research Keywords

Localization
Non-line-of-sight
Wireless sensor networks

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10.1109/INDIN41052.2019.8972048

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Silva, B. J., & Hancke, G. P. (2019). An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans. In Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (pp. 1715-1718). Article 8972048 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2019-July). IEEE. https://doi.org/10.1109/INDIN41052.2019.8972048

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title = "An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans",

abstract = "Accurate indoor positioning is challenging due to non-line-of-sight (NLOS) conditions which cause ranging and location errors. This paper proposes an iterative algorithm to improve location accuracy in NLOS conditions caused by through-the-wall (TTW) propagation. The proposed algorithm uses a floor plan with details of walls' locations and dimensions. The algorithm reduces the NLOS range between a tag and anchors iteratively, resulting in a final location that is closer to the tag's true location than the NLOS estimated location. It is shown that the algorithm can reduce the impact of NLOS conditions on location accuracy significantly.",

keywords = "Localization, Non-line-of-sight, Wireless sensor networks",

author = "Silva, {Bruno J.} and Hancke, {Gerhard P.}",

year = "2019",

month = jul,

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language = "English",

isbn = "9781728129273",

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booktitle = "Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)",

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note = "17th IEEE International Conference on Industrial Informatics (INDIN2019), INDIN'19 ; Conference date: 22-07-2019 Through 25-07-2019",

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Silva, BJ & Hancke, GP 2019, An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans. in Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)., 8972048, IEEE International Conference on Industrial Informatics (INDIN), vol. 2019-July, IEEE, pp. 1715-1718, 17th IEEE International Conference on Industrial Informatics (INDIN2019), Helsinki-Espoo, Finland, 22/07/19. https://doi.org/10.1109/INDIN41052.2019.8972048

An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans. / Silva, Bruno J.; Hancke, Gerhard P.
Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). IEEE, 2019. p. 1715-1718 8972048 (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2019-July).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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T1 - An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans

AU - Silva, Bruno J.

AU - Hancke, Gerhard P.

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N2 - Accurate indoor positioning is challenging due to non-line-of-sight (NLOS) conditions which cause ranging and location errors. This paper proposes an iterative algorithm to improve location accuracy in NLOS conditions caused by through-the-wall (TTW) propagation. The proposed algorithm uses a floor plan with details of walls' locations and dimensions. The algorithm reduces the NLOS range between a tag and anchors iteratively, resulting in a final location that is closer to the tag's true location than the NLOS estimated location. It is shown that the algorithm can reduce the impact of NLOS conditions on location accuracy significantly.

AB - Accurate indoor positioning is challenging due to non-line-of-sight (NLOS) conditions which cause ranging and location errors. This paper proposes an iterative algorithm to improve location accuracy in NLOS conditions caused by through-the-wall (TTW) propagation. The proposed algorithm uses a floor plan with details of walls' locations and dimensions. The algorithm reduces the NLOS range between a tag and anchors iteratively, resulting in a final location that is closer to the tag's true location than the NLOS estimated location. It is shown that the algorithm can reduce the impact of NLOS conditions on location accuracy significantly.

KW - Localization

KW - Non-line-of-sight

KW - Wireless sensor networks

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DO - 10.1109/INDIN41052.2019.8972048

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781728129273

T3 - IEEE International Conference on Industrial Informatics (INDIN)

SP - 1715

EP - 1718

BT - Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

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T2 - 17th IEEE International Conference on Industrial Informatics (INDIN2019)

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An Approach to Improve Location Accuracy in Non-Line-of-Sight Scenarios using Floor Plans

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