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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:Multipath-assisted indoor positioning using radio frequency signal
 s
DTSTART:20151022T141500
DTSTAMP:20260408T085034Z
UID:f33dbdaf1f8600389ebb108647a1ee00b58a5efd240a3a578cfa334f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Paul Meissner\, TU Graz\nMultipath propagation is consider
 ed as the main impairment for radio-based positioning systems. Especially 
 indoors\, the large density of strong signal reflections lead to large bia
 ses in range estimates.  This often leads to a insufficient robustness of
  the positioning algorithms.\nIn this talk\, we show how deterministic mul
 tipath components can be used constructively for positioning instead of tr
 eating it as an error source. Using a floor plan and proper geometric and 
 stochastic modeling of the radio signal received by an agent\, signal refl
 ections can be treated as additional range measurements to so-called virtu
 al anchors.  Performance bounds for the according position error allow fo
 r important insights in the role of deterministic multipath for positionin
 g. We present multipath-assisted navigation and tracking (MINT) algorithms
  and show that the awareness to the uncertainties of the position-related 
 parameters in the radio signal provides both accurate and robust position 
 estimation.\nFurthermore\, we discuss simultaneous localization and tracki
 ng (SLAM) with MINT flavor. We show that a floor plan representation using
  virtual anchors can be learned online during the tracking of a moving age
 nt. In this manner\, still the same level of positioning accuracy as with 
 a known floor plan can be achieved with almost no prior information.\nBio:
  Paul Meissner received the B.Sc. and MSc. degree (with distinction) in in
 formation and computer engineering from Graz University of Technology\, Gr
 az\, Austria in 2006 and 2009\, respectively.  He received the Ph.D.  de
 gree in electrical engineering (with distinction) from the same university
  in 2014.\nPaul is currently a postdoctoral researcher at the Signal Proce
 ssing and Speech Communication Laboratory (SPSC) of Graz University of Tec
 hnology.  His research topics include statistical signal processing\, loc
 alization\, estimation theory and radio channel modeling.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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