基于三维扩展卡尔曼滤波的算法  

Parameters 3-D Location Based on Extended Kalman Filter

作　　者：屠晓东[1] 张浩[1] 

机构地区：[1]中国海洋大学信息科学与工程学院,青岛266100

出　　处：《计算机系统应用》2012年第8期73-75,共3页Computer Systems & Applications

摘　　要：现在的定位算法通常是二维形式的,在基于扩展卡尔曼滤波的TDOA/AOA算法的基础上推导出了该算法的三维形式。在本文中将方位角、俯仰角、TDOA三个量构造成符合扩展卡尔曼滤波器的模型,可求得三个分量,从而最终得到移动基站的位置估计。我们仿真了该方法的跟踪轨迹。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）.

关 键 词：WEB信息提取 知识表示 数据密集型Web页面 基于本体的关键词库 

分 类 号：TN713[电子电信—电路与系统]