TDOA positioning in NLOS scenarios by particle filtering

Authors:
Mauro Boccadoro;Guido De Angelis;Paolo Valigi
Affiliations:
Department of Electronic and Information Engineering (DIEI), University of Perugia, Perugia, Italy 06125;Department of Electronic and Information Engineering (DIEI), University of Perugia, Perugia, Italy 06125;Department of Electronic and Information Engineering (DIEI), University of Perugia, Perugia, Italy 06125
Venue:
Wireless Networks
Year:
2012

Citing 4
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Abstract

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.