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

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

314 Nedladdningar (Pure)

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	2015 European Control Conference (ECC)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	1669 - 1672
ISBN (elektroniskt)	978-3-9524-2693-7
DOI	https://doi.org/10.1109/ECC.2015.7330777
Status	Published - 2015
Evenemang	European Control Conference, 2015: ECC´15 - Linz, Österrike Varaktighet: 2015 juli 15 → 2015 juli 17

Konferens

Konferens	European Control Conference, 2015
Land/Territorium	Österrike
Ort	Linz
Period	2015/07/15 → 2015/07/17

Ämnesklassifikation (UKÄ)

Signalbehandling
Reglerteknik

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10.1109/ECC.2015.7330777

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@inproceedings{4e91110ec62e4bf0b6ddd04134e931e5,

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",

}

Karlsson, F, Karlsson, M, Bernhardsson, B , Tufvesson, F & Persson, M 2015, Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements. i 2015 European Control Conference (ECC). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 1669 - 1672, European Control Conference, 2015, Linz, Österrike, 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. s. 1669 - 1672.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i 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.

UR - https://www.scopus.com/pages/publications/84963800358

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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