%0 Journal Article
%T Parameters 3-D Location Based on Extended Kalman Filter<br>基于三维扩展卡尔曼滤波的算法
%A TU Xiao-Dong
%A ZHANG Hao
%A <br>屠晓东
%A 张浩
%J 计算机系统应用
%D 2012
%I 
%X For now the positioning algorithm is usually two-dimensional form. Based on the TDOA/AOA algorithm which is on the basis of extended Kalman filter, we derive the three-dimensional form of the algorithm. In this article, three quantities including azimuth, pitch angle, TDOA constructes a model that in line with the extended Kalman filter. Thus the three coordinate components can be obtained, and ultimately get the location of the mobile base station estimates. We simulated the tracking trajectory of the algorithm, and deduced the parameters Cramer-Rao Low Bound （CRLB）.
%K kalman
%K crib
%K tdoa/aoa<br>Web信息提取
%K 知识表示
%K 数据密集型Web页面
%K 基于本体的关键词库
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA05376C1C04F32235C439&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=5D311CA918CA9A03&sid=B9704B40A4225A24&eid=80A07035DF96B0C4&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7