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 |
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| container_title | Wireless networks |
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| creator | Boccadoro, Mauro De Angelis, Guido Valigi, Paolo |
| description | 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. |
| doi_str_mv | 10.1007/s11276-012-0420-9 |
| format | Article |
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| ispartof | Wireless networks, 2012-07, Vol.18 (5), p.579-589 |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | 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 |
| title | TDOA positioning in NLOS scenarios by particle filtering |
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