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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-11042015-102253


Tipo di tesi
Tesi di laurea magistrale
Autore
MENINNO, MICHELE
URN
etd-11042015-102253
Titolo
Analysis of Ultra-Wideband-based TOA estimation techniques in multipath environments.
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA DELLE TELECOMUNICAZIONI
Relatori
relatore Prof. Giannetti, Filippo
tutor Dott. Neander, Jonas
relatore Prof. D'Amico, Antonio Alberto
Parole chiave
  • Extended Kalman Filter
  • LOS/NLOS identification
  • multipath
  • real-time tracking.
  • TOA localization
  • Ultra-Wideband
Data inizio appello
26/11/2015
Consultabilità
Completa
Riassunto
This thesis aims to investigate the performance of TOA localization technique in the presence of severe multipath. The adopted algorithm has the goal of identifying LOS/NLOS condition and eventually mitigate the NLOS bias. A mathematical model based on the modified Extended Kalman filter is developed to identify LOS and NLOS condition and estimate the bias in the case of NLOS. The experimental validation of the adopted algorithm was realized both in simulated and real scenarios. The results are shows a good performance of the algorithm in adapting to LOS/NLOS (and viceversa) transitions.
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