Paper Info
Title
Hybrid GPS/GSM localization of mobile terminals using the extended Kalman filter.
Abstract
In dense urban and indoor scenarios, the Global Positioning System (GPS) often cannot provide reliable mobile terminal (MT) location estimates, due to the attenuation or complete shadowing of the satellite signals. Cellular radio network-based localization methods, however, provide MT location estimates in almost every scenario, but they do not reach the accuracy of MT location estimates provided by GPS. Thus, a promising approach is to combine measured values from the cellular radio network and GPS, which is known as hybrid localization. In this paper, an extended Kalman filter (EKF)-based hybrid localization method is proposed that combines round trip time and received signal strength measured values available from the Global System for Mobile Communication (GSM) and pseudorange (PR) measured values from GPS, in order to track the MT's movement. In contrast to existing hybrid approaches, an EKF-based MT tracking algorithm is proposed that additionally takes into account sectorized BS antennas which are typically employed in existing GSM networks, and it takes into account PR instead of geometric range (or time of arrival) measured values from GPS as GSM is normally not time-synchronized to GPS. Simulation and experimental results show that, compared to an EKF that is based only on GSM measured values, the proposed EKF that additionally incorporates PR measured values yields improved MT location estimates.
Year
DOI
Venue
2009
10.1109/WPNC.2009.4907826
WPNC
Keywords
Field
DocType
Global Positioning System,Kalman filters,cellular radio,mobility management (mobile radio),nonlinear filters,Global Positioning System,Global System for Mobile Communication,cellular radio network-based localization methods,extended Kalman filter,hybrid GPS/GSM localization,mobile terminals,pseudorange,round trip time,satellite signals,sectorized BS antennas,signal strength
GSM,Extended Kalman filter,Synchronization,Pseudorange,Computer science,Electronic engineering,Kalman filter,Global Positioning System,Assisted GPS,Time of arrival
Conference
ISSN
Citations 
PageRank 
2164-9758
7
0.58
References 
Authors
4
3
Name
Order
Citations
PageRank
Carsten Fritsche115714.72
Anja Klein223218.18
Dominique Würtz370.58