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EURASIP Journal on Advances in Signal Processing
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Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning

EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 086706 (2006) Cite this article

Abstract

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.

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Authors and Affiliations

  1. Division R&D, TECH/IDEA, France Telecom, Meylan, 38243, France

    Frédéric Evennou & François Marx

Authors
  1. Frédéric Evennou
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  2. François Marx
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Correspondence to Frédéric Evennou.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Evennou, F., Marx, F. Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning. EURASIP J. Adv. Signal Process. 2006, 086706 (2006). https://doi.org/10.1155/ASP/2006/86706

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  • DOI: https://doi.org/10.1155/ASP/2006/86706

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