%0 Journal Article
%T 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
%A Wang Li
%A Liu Zheng-jun
%A Hu Han-ying
%A
王 丽
%A 刘正军
%A 胡捍英
%J 电子与信息学报
%D 2007
%I
%X 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.
%K Mobile location
%K Particle filter
%K Extended Kalman Filter (EKF)
%K TOA
%K DOA
移动台定位
%K 粒子滤波
%K 扩展卡尔曼滤波
%K TOA
%K DOA
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B9A6782672D61C98&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=DF92D298D3FF1E6E&sid=A7E55B1B50263111&eid=9B1BEE8CA21457F1&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=17