Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning
<p/> <p>This paper presents an aided dead-reckoning navigation structure and signal processing algorithms for self localization of an autonomous mobile device by fusing pedestrian dead reckoning and WiFi signal strength measurements. WiFi and inertial navigation systems (INS) are used fo...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2006-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/ASP/2006/86706 |
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author | Evennou Frédéric Marx François |
author_facet | Evennou Frédéric Marx François |
author_sort | Evennou Frédéric |
collection | DOAJ |
description | <p/> <p>This paper presents an aided dead-reckoning navigation structure and signal processing algorithms for self localization of an autonomous mobile device by fusing pedestrian dead reckoning and WiFi signal strength measurements. WiFi and inertial navigation systems (INS) are used for positioning and attitude determination in a wide range of applications. Over the last few years, a number of low-cost inertial sensors have become available. Although they exhibit large errors, WiFi measurements can be used to correct the drift weakening the navigation based on this technology. On the other hand, INS sensors can interact with the WiFi positioning system as they provide high-accuracy real-time navigation. A structure based on a Kalman filter and a particle filter is proposed. It fuses the heterogeneous information coming from those two independent technologies. Finally, the benefits of the proposed architecture are evaluated and compared with the pure WiFi and INS positioning systems.</p> |
first_indexed | 2024-04-12T18:08:02Z |
format | Article |
id | doaj.art-4eebf088f81545539e5f40b8a5f698c6 |
institution | Directory Open Access Journal |
issn | 1687-6172 1687-6180 |
language | English |
last_indexed | 2024-04-12T18:08:02Z |
publishDate | 2006-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
spelling | doaj.art-4eebf088f81545539e5f40b8a5f698c62022-12-22T03:21:55ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061086706Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile PositioningEvennou FrédéricMarx François<p/> <p>This paper presents an aided dead-reckoning navigation structure and signal processing algorithms for self localization of an autonomous mobile device by fusing pedestrian dead reckoning and WiFi signal strength measurements. WiFi and inertial navigation systems (INS) are used for positioning and attitude determination in a wide range of applications. Over the last few years, a number of low-cost inertial sensors have become available. Although they exhibit large errors, WiFi measurements can be used to correct the drift weakening the navigation based on this technology. On the other hand, INS sensors can interact with the WiFi positioning system as they provide high-accuracy real-time navigation. A structure based on a Kalman filter and a particle filter is proposed. It fuses the heterogeneous information coming from those two independent technologies. Finally, the benefits of the proposed architecture are evaluated and compared with the pure WiFi and INS positioning systems.</p>http://dx.doi.org/10.1155/ASP/2006/86706 |
spellingShingle | Evennou Frédéric Marx François Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning EURASIP Journal on Advances in Signal Processing |
title | Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning |
title_full | Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning |
title_fullStr | Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning |
title_full_unstemmed | Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning |
title_short | Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning |
title_sort | advanced integration of wifi and inertial navigation systems for indoor mobile positioning |
url | http://dx.doi.org/10.1155/ASP/2006/86706 |
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