Mobility modelling and trajectory prediction for cellular networks with mobile base stations
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Tracking human motion in an indoor environment
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
YPOP indoor navigation and service information system for public environments
ICCOM'07 Proceedings of the 11th Conference on 11th WSEAS International Conference on Communications - Volume 11
A practical implementation of indoor location-based services using simple WiFi positioning
Journal of Location Based Services
SofTOA: Software Ranging for TOA-Based Positioning of WLAN Terminals
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Tracking mobile targets indoors using WLAN and time of arrival
Computer Communications
Towards designing better maps for indoor navigation: experiences from a case study
Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia
Comparative performance evaluation of IEEE 802.11v for positioning with time of arrival
Computer Standards & Interfaces
Application of WiFi-based indoor positioning system in handheld directory system
ECC'11 Proceedings of the 5th European conference on European computing conference
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Authors presented recently an indoor location technique based on Time Of Arrival (TOA) obtained from Round-Trip-Time (RTT) measurements at data link level and trilateration. This new approach uses the existing IEEE 802.11 WLAN infrastructure with minor changes to provide an accurate estimation of the position of static wireless terminals. This paper presents advances on how to incorporate tracking capabilities to this approach in order to achieve a noticeable enhancement in the positioning accuracy while maintaining the computational cost low, both essential requirements in some critical applications of indoor pedestrian navigation in which people carrying light mobile devices has to be tracked with precision. Taking as a basis the Discrete Kalman Filter, customizations and optimizations have been designed and presented. Results obtained after conducting extensive simulations fed with actual ranging observables demonstrate the validity and suitability of the researched algorithms and its ability to provide very high performance level in terms of accuracy and robustness.