Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength

Md. Sabbir Rahman Sakib; Md Abdul Quyum; Karl Andersson; Kare Synnes; Ulf Körner

doi:10.1109/ISSNIP.2014.6827597

Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength

Md. Sabbir Rahman Sakib, Md Abdul Quyum, Karl Andersson, Kare Synnes, Ulf Körner

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Indoor positioning is recognized as one of the upcoming major applications which can be used in wide variety of applications such as indoor navigation and enterprise asset tracking. The significance of localization in indoor environments have made the use of Wi-Fi based indoor positioning so that it can utilize available current wireless infrastructure and perform positioning very easily. In this paper we introduced a user friendly prototype for Wi-Fi based indoor positioning system where a user can identify its own position in indoor. Wi-Fi received signal strength (RSS) fluctuations over time introduce incorrect positioning To minimize the fluctuation of RSS, we developed Particle Filters with the prototype. A comparison between with and without Particle Filter for error performance is presented and at the same time it is also noticed that variation in number of particles could change the positioning accuracy. Moreover comparison between calibration data in all directions and in one direction while constructing a radio map is presented.

Original language	English
Title of host publication	2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
ISBN (Print)	978-1-4799-2842-2
DOIs	https://doi.org/10.1109/ISSNIP.2014.6827597
Publication status	Published - 2014
Event	9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) - Singapore, Singapore Duration: 2014 Apr 21 → 2014 Apr 24

Conference

Conference	9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
Country/Territory	Singapore
Period	2014/04/21 → 2014/04/24

Subject classification (UKÄ)

Communication Systems

Free keywords

positioning
rss fingerprinting
particle filters
radio map
calibration data

Access to Document

10.1109/ISSNIP.2014.6827597

Cite this

Sakib, M. S. R., Quyum, M. A., Andersson, K., Synnes, K., & Körner, U. (2014). Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength. In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1-6). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSNIP.2014.6827597

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title = "Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength",

abstract = "Indoor positioning is recognized as one of the upcoming major applications which can be used in wide variety of applications such as indoor navigation and enterprise asset tracking. The significance of localization in indoor environments have made the use of Wi-Fi based indoor positioning so that it can utilize available current wireless infrastructure and perform positioning very easily. In this paper we introduced a user friendly prototype for Wi-Fi based indoor positioning system where a user can identify its own position in indoor. Wi-Fi received signal strength (RSS) fluctuations over time introduce incorrect positioning To minimize the fluctuation of RSS, we developed Particle Filters with the prototype. A comparison between with and without Particle Filter for error performance is presented and at the same time it is also noticed that variation in number of particles could change the positioning accuracy. Moreover comparison between calibration data in all directions and in one direction while constructing a radio map is presented.",

keywords = "positioning, rss fingerprinting, particle filters, radio map, calibration data",

author = "Sakib, {Md. Sabbir Rahman} and Quyum, {Md Abdul} and Karl Andersson and Kare Synnes and Ulf K{\"o}rner",

year = "2014",

doi = "10.1109/ISSNIP.2014.6827597",

language = "English",

isbn = "978-1-4799-2842-2",

pages = "1--6",

booktitle = "2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) ; Conference date: 21-04-2014 Through 24-04-2014",

}

Sakib, MSR, Quyum, MA, Andersson, K, Synnes, K & Körner, U 2014, Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength. in 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 9th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, 2014/04/21. https://doi.org/10.1109/ISSNIP.2014.6827597

Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength. / Sakib, Md. Sabbir Rahman; Quyum, Md Abdul; Andersson, Karl et al.
2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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AU - Quyum, Md Abdul

AU - Andersson, Karl

AU - Synnes, Kare

AU - Körner, Ulf

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AB - Indoor positioning is recognized as one of the upcoming major applications which can be used in wide variety of applications such as indoor navigation and enterprise asset tracking. The significance of localization in indoor environments have made the use of Wi-Fi based indoor positioning so that it can utilize available current wireless infrastructure and perform positioning very easily. In this paper we introduced a user friendly prototype for Wi-Fi based indoor positioning system where a user can identify its own position in indoor. Wi-Fi received signal strength (RSS) fluctuations over time introduce incorrect positioning To minimize the fluctuation of RSS, we developed Particle Filters with the prototype. A comparison between with and without Particle Filter for error performance is presented and at the same time it is also noticed that variation in number of particles could change the positioning accuracy. Moreover comparison between calibration data in all directions and in one direction while constructing a radio map is presented.

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KW - rss fingerprinting

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KW - radio map

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M3 - Paper in conference proceeding

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BT - 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

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Sakib MSR, Quyum MA, Andersson K, Synnes K, Körner U. Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength. In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE - Institute of Electrical and Electronics Engineers Inc. 2014. p. 1-6 doi: 10.1109/ISSNIP.2014.6827597

Improving Wi-Fi based Indoor Positioning using Particle Filter based on Signal Strength

Abstract

Conference

Subject classification (UKÄ)

Free keywords

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Cite this