PCRB for positioning in GSM networks

Abstract

The posterior Cramér-Rao lower bound (PCRB) for estimating the position and velocity of a Mobile Station (MS) by integrating two different kinds of measurement from GSM networks, Timing Advance (TA) and Received Signal Strength (RSS), is derived. The bound shows that theoretically the data fusion approach yields better accuracy than using a single kind of measurement. The performance of an extended Kalman filter (EKF) is compared with the PCRB.