Abstract: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.
王丽; 刘正军; 胡捍英. 基于粒子滤波的蜂窝网移动台单站跟踪[J]. 电子与信息学报, 2007, 29(7): 1556-1559 .
Wang Li; Liu Zheng-jun; Hu Han-ying. Particle Filter for Single Base Station Mobile Tracking in Cellular Networks. , 2007, 29(7): 1556-1559 .