Belief propagation based joint probabilistic data association for multipath-assisted indoor navigation and tracking

@article{Leitinger2016BeliefPB,
  title={Belief propagation based joint probabilistic data association for multipath-assisted indoor navigation and tracking},
  author={Erik Leitinger and Florian Meyer and Paul Meissner and Klaus Witrisal and Franz Hlawatsch},
  journal={2016 International Conference on Localization and GNSS (ICL-GNSS)},
  year={2016},
  pages={1-6}
}
We apply joint probabilistic data association (JPDA) to multipath-assisted indoor navigation and tracking (MINT). In MINT, position-related information in multipath components (MPCs) is exploited to increase the accuracy and robustness of indoor tracking. Conventional MINT algorithms are based on deterministic data association and perform a global nearest-neighbor “hard” association of MPC-related delays with the room geometry. In such a setup, incorrect associations may lead to severe tracking… CONTINUE READING

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MeasureMINT UWB database

  • P. Meissner, E. Leitinger, M. Lafer, K. Witrisal
  • 2013. [Online]. Available: www.spsc.tugraz.at…
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