Position and Velocity Tracking in Cellular Networks Using Particle and Kalman Filtering with Comparison

This paper presents two methods for tracking a user based on Aulin's wave scattering channel model. The first method is based on the extended Kalman filter approach, while the second method is based on the particle filter approach. Aulin's model takes into account non line of sight and multipath propagation environments, which are usually encountered in wireless fading channels. The received instantaneous electric field at the base station is a nonlinear function of the mobile location and velocity as Aulin's model indicate. The proposed methods cope with nonlinearities in order to estimate the mobile location and velocity. The assumptions are knowledge of the channel and access to the instantaneous received field, which are obtained through channel sounding samples from the receiver circuitry. In contrast to the extended Kalman filter tracking approach, the particle filter approach does not rely on linearized motion models, measurement relations, and Gaussian assumptions. Numerical results are presented to evaluate the accuracy of the proposed methods