On Nonlinear Road-Constrained Target Tracking in GSM Networks

The global system for mobile communications (GSM) networks can provide position information. However, a GSM positioning system based on current specifications faces many difficulties when trying to obtain accurate position estimates. For ground target tracking, the additional information of road constraint can improve the estimation accuracy when it is properly incorporated into the estimation process. In this paper, we examine the performance of ground target tracking in GSM networks in the presence of nonlinear road constraint using a pseudomeasurement approach. The simulation results verify that an extended Kalman filter (EKF) with the constraint as pseudo measurement significantly improves the estimation accuracy. And a simulation study of the performance on different numbers of measurements demonstrates the efficiency and robustness of the pseudomeasurement approach. Moreover, the comparisons show that the pseudomeasurement approach is superior over a projection approach to incorporate such a constraint.