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A Kalman filter with speed constraints for WiFi-based indoor localization

Vincent Sircoulomb 1 Houcine Chafouk 
1 Pôle Automatique et Systèmes
IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués
Abstract : This paper presents a constrained Kalman filter for WiFi-based indoor localization. The contribution of this work is to introduce constraints on the object speed and to provide a robust test determining when to apply these constraints. The proposed approach is appropriate when the indoor environment is split into several areas, each area having its own variable organization. It is also applicable to objects that could be span around, as for example barcode readers in a hand. The proposed technique is experimented with a robot and three devices, on five different journeys, in a 6000m2 warehouse equipped with six Wi-Fi access points. The results highlights that the proposed approach provides a 17% improvement in the localization accuracy.
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Conference papers
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https://hal-normandie-univ.archives-ouvertes.fr/hal-03621159
Contributor : Vincent Sircoulomb Connect in order to contact the contributor
Submitted on : Monday, March 28, 2022 - 8:40:13 AM
Last modification on : Tuesday, March 29, 2022 - 4:07:27 AM

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Vincent Sircoulomb, Houcine Chafouk. A Kalman filter with speed constraints for WiFi-based indoor localization. 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Mar 2022, Meknes, Morocco. pp.1-6, ⟨10.1109/IRASET52964.2022.9738152⟩. ⟨hal-03621159⟩

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