Particle Filter for Single Base Station Mobile Tracking in Cellular Networks
基于粒子滤波的蜂窝网移动台单站跟踪

The implementation of mobile location utilizing only the service base station is relatively easy and the probability of positioning is higher. But the major challenge is poor accuracy. A single base station mobile tracking technique is proposed based on particle filter, which is a powerful method dealing with highly non-linear non-Gaussian problem. Simulation results indicate this technique can achieve high accuracy and the convergence speed is faster than extended Kalman filter based location algorithm.