Improving Cellular Positioning Indoors Through Trajectory Matching

Mahi Abdelbar and R. Michael Buehrer

Abstract: Positioning in indoor environments is an ongoing challenging problem. Currently deployed wireless positioning and localization techniques are optimized for outdoor operation and cannot provide accurate location information in indoor environments where line-of-sight (LOS) communication is not available. Meanwhile, new applications and services, including the recent Enhanced 911 (E911), require that cellular positioning provides indoor location information up to the room/suite level. In this work, a new system for improving cellular indoor localization of mobile users is presented by exploiting advancements in smart building infrastructure. Smart buildings are supplied with networks of a variety of sensors that could track the motion trajectories of anonymous users with high levels of accuracy. We propose an improved cellular positioning technique whereby we match a low-accuracy motion trajectory of an individual tracked through cellular positioning techniques to one of the high-accuracy anonymous building-tracked trajectories. This will enable the cellular system to acquire a more accurate version of the user motion trajectory, and hence provide the location of the user at the room level. Preliminary simulation results show that by matching trajectories the cellular system will be able to provide indoor location information at the room level with accuracy up to 75% in different scenarios.
Published in: Proceedings of IEEE/ION PLANS 2016
April 11 - 14, 2016
Hyatt Regency Hotel
Savannah, GA
Pages: 219 - 224
Cite this article: Abdelbar, Mahi, Buehrer, R. Michael, "Improving Cellular Positioning Indoors Through Trajectory Matching," Proceedings of IEEE/ION PLANS 2016, Savannah, GA, April 2016, pp. 219-224.
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