Kalman tracking for mobile location in NLOS situations

:lhstr,,c/This paper deals with thc problem of non-line-of-sight (NLOS) in wireless coinniunications systems devoted to location purpnses. I t i s WEII known that NLOS biases time o f nr r iva l ('rO+\) 21nd Time Difference of Arrival (TDOA) estimates thus rcduring accuracy of positioning algorithms. I n urder to achieve positioning error reduction the Kalman filter proposed for Iorntion estimation includes the time meisurenient bias for each I3iirc Station (BS) as additional parameters to he estimated. The uw of tlir Knlman f i l te r iillows then tracking. not only the position and speed o f the mobile. but also the bias due to NLOS, yielding an accurate larat ion prediction algorithm.