TDOA positioning in NLOS scenarios by particle filtering

TDOA positioning in NLOS scenarios by particle filtering

A method is proposed for position estimation from non line of sight time difference of arrivals (TDOA) measurements. A general measurement model for TDOA accounting for non line of sight conditions is developed; then, several simplifying working assumptions regarding this model are discussed to allo...

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Veröffentlicht in:Wireless networks 2012-07, Vol.18 (5), p.579-589
Hauptverfasser: Boccadoro, Mauro, De Angelis, Guido, Valigi, Paolo
Format: Artikel
Sprache:eng
Schlagworte:
Accounting
Algorithms
Communications Engineering
Computer Communication Networks
Computer simulation
Electrical Engineering
Engineering
Estimating techniques
Extended Kalman filter
Filtering
Filtration
Hypotheses
IT in Business
Kalman filters
Line of sight
Localization
Markov analysis
Networks
Noise
Normal distribution
Propagation
Studies
Wireless networks
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Beschreibung
Zusammenfassung:A method is proposed for position estimation from non line of sight time difference of arrivals (TDOA) measurements. A general measurement model for TDOA accounting for non line of sight conditions is developed; then, several simplifying working assumptions regarding this model are discussed to allow the efficient implementation of a particle filter localization algorithm. This algorithm is tested and compared with an extended Kalman filter procedure, both in simulation, generating artificial measures, and with real data.
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-012-0420-9