Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2006 | 10.1145/1164783.1164806 | MOBIWAC |
Keywords | Field | DocType |
indoor pedestrian navigation,new approach,positioning accuracy,data link level,high performance level,discrete kalman filter,toa measurement,wlan infrastructure,wlan location,indoor tracking,indoor location technique,computational cost low,accurate estimation,tracking,kalman filter,navigation,wlan,ieee 802 11,round trip time,mobile device,toa,kalman,time of arrival,localization,kalman filtering | IEEE 802.11,Wireless,Simulation,Computer science,Kalman filter,Robustness (computer science),Ranging,Data link,Time of arrival,Trilateration | Conference |
ISBN | Citations | PageRank |
1-59593-488-X | 21 | 1.79 |
References | Authors | |
3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marc Ciurana | 1 | 84 | 8.85 |
Francisco Barcelo-Arroyo | 2 | 48 | 7.91 |
Sebastiano Cugno | 3 | 46 | 4.33 |