State Space Initiation for Blind Mobile Terminal Position Tracking
- PDF / 1,010,414 Bytes
- 14 Pages / 600.05 x 792 pts Page_size
- 106 Downloads / 170 Views
Research Article State Space Initiation for Blind Mobile Terminal Position Tracking Vadim Algeier,1 Bruno Demissie,2 Wolfgang Koch,2 and Reiner Thoma¨ 1 1 Electronic
Measurement Research Lab, Institute of Information Technology, Ilmenau University of Technology, P.O. Box 100 565, 98684 Ilmenau, Germany 2 Research Institute for Communication, Information Processing and Ergonomics (FKIE), Research Establishment for Applied Science (FGAN), Neuenahrer Straße 20, 53343 Wachtberg, Germany Correspondence should be addressed to Bruno Demissie, [email protected] Received 23 April 2007; Accepted 19 September 2007 Recommended by Yvo Boers Blind localization and tracking of mobile terminals in urban scenarios is an important requirement for offering new locationbased services, handling emergency cases of nonsubscribed users, public safety, countering IEDs, and so forth. In this context, we propose a track-before-detect scheme taking explicitly advantage of multipath propagation in an urban terrain by using a priori information about the known locations of the main scattering objects such as buildings. This information is made available for localization and tracking by a real-time ray tracing technique based on a 2D geographic database. This allows the prediction of the directional and temporal structure of the received multipath components for an arbitrary transmitter position. We consider a single observing station where the direction and the relative time of arrival of the received multipath components can be estimated by an antenna array. By a likelihood function, which is algorithmically defined for a randomly distributed set of potential transmitter positions, these measurements are compared with those being expected by ray tracing. This likelihood function is the key component of a track-before-detect scheme providing initial state estimates for mobile transmitter tracking using a particle filtering technique. Copyright © 2008 Vadim Algeier et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1.
INTRODUCTION
There is a rapid growth of wireless applications that require the knowledge of the mobile terminal’s location [1]. For position estimation of mobile terminals in cellular networks there is a variety of methods that can be distinguished according to the respective underlying physical principles [2, 3]. All of them have pros and cons regarding accuracy, available coverage, cost, technical feasibility, and operational complexity in different environments and applications. Furthermore, they differ in the level of cooperation between the mobile terminal and the infrastructure or the other location reference stations. This makes them more or less suited for the variety of applications. Blind localization, for example, presumes no cooperation of the mobile terminal with the location reference station. This problem is typical of nonsubscribed user localizatio
Data Loading...
