%0 Journal Article
%T Particle Filter Tracking Algorithm in LOS/NLOS Hybrid Environment<br>LOS/NLOS混合环境中的粒子滤波跟踪算法
%A Luo Yong-jie
%A Wan Qun
%A Yang Wan-lin
%A <br>罗咏劼
%A 万群
%A 杨万麟
%J 电子与信息学报
%D 2007
%I 
%X Large tracking error has been found in the use of classic extended Kalman filter in LOS/NLOS hybrid environment. This paper presents a modified particle filter algorithm based on the LOS/NLOS binary state information of propagation environment using the numerical method of the Probability Density Function (PDF) about the hybrid noise. Simulation results show that the new scheme integrated the LOS/NLOS environment information and the hybrid noise density can improve the tracking estimation accuracy effectively.
%K Tracking
%K Particle filtering(PF)
%K NLOS
%K Environment information<br>跟踪
%K 粒子滤波
%K 非直达波
%K 环境信息
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=78DABE2E4142247C&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=5D311CA918CA9A03&sid=4437F4A817ED1EF0&eid=F44FBAC0FA4347E5&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=12