State space initiation for blind mobile terminal position tracking

  • Authors:

  • Vadim Algeier;Bruno Demissie;Wolfgang Koch;Reiner Thomä

  • Affiliations:

  • Electronic Measurement Research Lab, Institute of Information Technology, Ilmenau University of Technology, Ilmenau, Germany;Research Institute for Communication, Information Processing and Ergonomics (FKIE), Research Establishment for Applied Science (FGAN), Wachtberg, Germany;Research Institute for Communication, Information Processing and Ergonomics (FKIE), Research Establishment for Applied Science (FGAN), Wachtberg, Germany;Electronic Measurement Research Lab, Institute of Information Technology, Ilmenau University of Technology, Ilmenau, Germany

  • Venue:
  • EURASIP Journal on Advances in Signal Processing
  • Year:
  • 2008

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Abstract

Blind localization and tracking of mobile terminals in urban scenarios is an important requirement for offering new location-based 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.