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TDOA positioning in NLOS scenarios by particle filtering
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TDOA positioning in NLOS scenarios by particle filtering
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TDOA positioning in NLOS scenarios by particle filtering
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TDOA positioning in NLOS scenarios by particle filtering
TDOA positioning in NLOS scenarios by particle filtering
Journal Article

TDOA positioning in NLOS scenarios by particle filtering

2012
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Overview
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.