Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements

Fredrik Karlsson; Martin Karlsson; Bo Bernhardsson; Fredrik Tufvesson; Magnus Persson

doi:10.1109/ECC.2015.7330777

Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements

Fredrik Karlsson, Martin Karlsson, Bo Bernhardsson, Fredrik Tufvesson, Magnus Persson

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

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Abstract

In this paper, signal strengths from known WiFi access points are used together with a particle filter to perform indoor navigation. It is shown that more information is obtained by using signals of both 2.4 and 5.0 GHz, compared to using only one frequency. Thus, using both frequencies provides a more accurate positioning. The second contribution is an algorithm where WiFi measurements are combined with pedestrian dead reckoning (PDR), which is based on step counting using an accelerometer and hypotheses of the heading using a gyroscope. This was found to provide further accuracy compared to more conventional methods.

Original language	English
Title of host publication	2015 European Control Conference (ECC)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	1669 - 1672
ISBN (Electronic)	978-3-9524-2693-7
DOIs	https://doi.org/10.1109/ECC.2015.7330777
Publication status	Published - 2015
Event	European Control Conference, 2015: ECC´15 - Linz, Austria Duration: 2015 Jul 15 → 2015 Jul 17

Conference

Conference	European Control Conference, 2015
Country/Territory	Austria
City	Linz
Period	2015/07/15 → 2015/07/17

Subject classification (UKÄ)

Signal Processing
Control Engineering

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10.1109/ECC.2015.7330777

positioning_eccAccepted author manuscript, 200 KB

Cite this

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title = "Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements",

abstract = "In this paper, signal strengths from known WiFi access points are used together with a particle filter to perform indoor navigation. It is shown that more information is obtained by using signals of both 2.4 and 5.0 GHz, compared to using only one frequency. Thus, using both frequencies provides a more accurate positioning. The second contribution is an algorithm where WiFi measurements are combined with pedestrian dead reckoning (PDR), which is based on step counting using an accelerometer and hypotheses of the heading using a gyroscope. This was found to provide further accuracy compared to more conventional methods.",

author = "Fredrik Karlsson and Martin Karlsson and Bo Bernhardsson and Fredrik Tufvesson and Magnus Persson",

year = "2015",

doi = "10.1109/ECC.2015.7330777",

language = "English",

pages = "1669 -- 1672",

booktitle = "2015 European Control Conference (ECC)",

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

address = "United States",

note = "European Control Conference, 2015 : ECC´15 ; Conference date: 15-07-2015 Through 17-07-2015",

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Karlsson, F, Karlsson, M , Bernhardsson, B , Tufvesson, F & Persson, M 2015, Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements. in 2015 European Control Conference (ECC). IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 1669 - 1672, European Control Conference, 2015, Linz, Austria, 2015/07/15. https://doi.org/10.1109/ECC.2015.7330777

Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements. / Karlsson, Fredrik; Karlsson, Martin ; Bernhardsson, Bo et al.
2015 European Control Conference (ECC). IEEE - Institute of Electrical and Electronics Engineers Inc., 2015. p. 1669 - 1672.

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

TY - GEN

T1 - Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements

AU - Karlsson, Fredrik

AU - Karlsson, Martin

AU - Bernhardsson, Bo

AU - Tufvesson, Fredrik

AU - Persson, Magnus

PY - 2015

Y1 - 2015

N2 - In this paper, signal strengths from known WiFi access points are used together with a particle filter to perform indoor navigation. It is shown that more information is obtained by using signals of both 2.4 and 5.0 GHz, compared to using only one frequency. Thus, using both frequencies provides a more accurate positioning. The second contribution is an algorithm where WiFi measurements are combined with pedestrian dead reckoning (PDR), which is based on step counting using an accelerometer and hypotheses of the heading using a gyroscope. This was found to provide further accuracy compared to more conventional methods.

AB - In this paper, signal strengths from known WiFi access points are used together with a particle filter to perform indoor navigation. It is shown that more information is obtained by using signals of both 2.4 and 5.0 GHz, compared to using only one frequency. Thus, using both frequencies provides a more accurate positioning. The second contribution is an algorithm where WiFi measurements are combined with pedestrian dead reckoning (PDR), which is based on step counting using an accelerometer and hypotheses of the heading using a gyroscope. This was found to provide further accuracy compared to more conventional methods.

U2 - 10.1109/ECC.2015.7330777

DO - 10.1109/ECC.2015.7330777

M3 - Paper in conference proceeding

SP - 1669

EP - 1672

BT - 2015 European Control Conference (ECC)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - European Control Conference, 2015

Y2 - 15 July 2015 through 17 July 2015

ER -

Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements

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