%0 Journal Article
%T Tracking Based on Kalman Filtering for Measurements Restructuring and Mobile Location<br>基于卡尔曼滤波的测量值重构及定位算法
%A Huang Qing-ming
%A Liu Ju
%A <br>黄清明
%A 刘琚
%J 电子与信息学报
%D 2007
%I 
%X The main impairment for location of terminals in wireless communications system is the Non-Line Of Sight (NLOS) condition. This paper presents a robust location tracking architecture for a NLOS situation. It mitigates NLOS error in the raw measurement using biased Kalman filtering. And then, a reckoning mechanism is introduced to Kalman filtering of location estimates. Simulation results demonstrate that, with the novel architecture, the location estimate can be obtained with good accuracy even in severe NLOS propagation conditions.
%K Wireless location
%K Kalman filtering
%K NLOS error<br>无线定位
%K 卡尔曼滤波
%K 非视距误差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=283D41937AECB3CF&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=DF92D298D3FF1E6E&sid=044F0D973C30117E&eid=43797DD45B2BF7AC&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14