A linear state model for PDR+WLAN positioning

Matti Raitoharju; Henri Nurminen; Robert Piche

A linear state model for PDR+WLAN positioning

Matti Raitoharju, Henri Nurminen, Robert Piche

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

27 Downloads (Pure)

Abstract

Indoor positioning based on WLAN signals is often enhanced using pedestrian dead reckoning (PDR) based on an inertial measurement unit. The state evolution model in PDR is usually nonlinear. We present a new linear state evolution model for PDR. In simulated-data and real-data tests of tightly coupled WLAN-PDR positioning, we find that the positioning accuracy with this linear model is almost as good as with traditional models when the initial state is known, and better when the initial state is not known. The proposed method is computationally light and is also suitable for smoothing.

Translated title of the contribution	A linear state model for PDR+WLAN positioning
Original language	English
Title of host publication	Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013
Editors	Adam Morawiec, Jinnie Hinderscheit
Place of Publication	Belmont France
Publisher	European Electronic Chips & Systems Design Initiative (ECSI)
Pages	113-118
Number of pages	6
ISBN (Electronic)	979-10-92279-01-6
ISBN (Print)	979-10-92279-02-3
Publication status	Published - 2013
Publication type	A4 Article in conference proceedings

Publication series

Name	Conference on Design and Architectures for Signal and Image Processing
Publisher	European Electronic Chips & Systems Design Initiative (ECSI)
ISSN (Print)	1966-7116

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Publication forum level 1

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Raitoharju a linear state model
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Raitoharju, M., Nurminen, H., & Piche, R. (2013). A linear state model for PDR+WLAN positioning. In A. Morawiec, & J. Hinderscheit (Eds.), Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013 (pp. 113-118). (Conference on Design and Architectures for Signal and Image Processing). European Electronic Chips & Systems Design Initiative (ECSI). http://www.ecsi.org/dasip2013/

Raitoharju, Matti ; Nurminen, Henri ; Piche, Robert. / A linear state model for PDR+WLAN positioning. Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013. editor / Adam Morawiec ; Jinnie Hinderscheit. Belmont France : European Electronic Chips & Systems Design Initiative (ECSI), 2013. pp. 113-118 (Conference on Design and Architectures for Signal and Image Processing).

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title = "A linear state model for PDR+WLAN positioning",

abstract = "Indoor positioning based on WLAN signals is often enhanced using pedestrian dead reckoning (PDR) based on an inertial measurement unit. The state evolution model in PDR is usually nonlinear. We present a new linear state evolution model for PDR. In simulated-data and real-data tests of tightly coupled WLAN-PDR positioning, we find that the positioning accuracy with this linear model is almost as good as with traditional models when the initial state is known, and better when the initial state is not known. The proposed method is computationally light and is also suitable for smoothing.",

author = "Matti Raitoharju and Henri Nurminen and Robert Piche",

note = "to appear in IEEEXPLORE<br/>Contribution: organisation=ase,FACT1=1<br/>Portfolio EDEND: 2013-10-29",

year = "2013",

language = "English",

isbn = "979-10-92279-02-3",

series = "Conference on Design and Architectures for Signal and Image Processing",

publisher = "European Electronic Chips \& Systems Design Initiative (ECSI)",

pages = "113--118",

editor = "Adam Morawiec and Jinnie Hinderscheit",

booktitle = "Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013",

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Raitoharju, M, Nurminen, H & Piche, R 2013, A linear state model for PDR+WLAN positioning. in A Morawiec & J Hinderscheit (eds), Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013. Conference on Design and Architectures for Signal and Image Processing, European Electronic Chips & Systems Design Initiative (ECSI), Belmont France, pp. 113-118. <http://www.ecsi.org/dasip2013/>

A linear state model for PDR+WLAN positioning. / Raitoharju, Matti; Nurminen, Henri; Piche, Robert.
Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013. ed. / Adam Morawiec; Jinnie Hinderscheit. Belmont France: European Electronic Chips & Systems Design Initiative (ECSI), 2013. p. 113-118 (Conference on Design and Architectures for Signal and Image Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A linear state model for PDR+WLAN positioning

AU - Raitoharju, Matti

AU - Nurminen, Henri

AU - Piche, Robert

N1 - to appear in IEEEXPLORE<br/>Contribution: organisation=ase,FACT1=1<br/>Portfolio EDEND: 2013-10-29

PY - 2013

Y1 - 2013

N2 - Indoor positioning based on WLAN signals is often enhanced using pedestrian dead reckoning (PDR) based on an inertial measurement unit. The state evolution model in PDR is usually nonlinear. We present a new linear state evolution model for PDR. In simulated-data and real-data tests of tightly coupled WLAN-PDR positioning, we find that the positioning accuracy with this linear model is almost as good as with traditional models when the initial state is known, and better when the initial state is not known. The proposed method is computationally light and is also suitable for smoothing.

AB - Indoor positioning based on WLAN signals is often enhanced using pedestrian dead reckoning (PDR) based on an inertial measurement unit. The state evolution model in PDR is usually nonlinear. We present a new linear state evolution model for PDR. In simulated-data and real-data tests of tightly coupled WLAN-PDR positioning, we find that the positioning accuracy with this linear model is almost as good as with traditional models when the initial state is known, and better when the initial state is not known. The proposed method is computationally light and is also suitable for smoothing.

M3 - Conference contribution

SN - 979-10-92279-02-3

T3 - Conference on Design and Architectures for Signal and Image Processing

SP - 113

EP - 118

BT - Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013

A2 - Morawiec, Adam

A2 - Hinderscheit, Jinnie

PB - European Electronic Chips & Systems Design Initiative (ECSI)

CY - Belmont France

ER -

Raitoharju M, Nurminen H, Piche R. A linear state model for PDR+WLAN positioning. In Morawiec A, Hinderscheit J, editors, Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing DASIP Cagliari, Italy, October 8-10, 2013. Belmont France: European Electronic Chips & Systems Design Initiative (ECSI). 2013. p. 113-118. (Conference on Design and Architectures for Signal and Image Processing).

A linear state model for PDR+WLAN positioning

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