| 多传感器按对角阵加权信息融合Kalman滤波器 |
| |
| 引用本文： | 邓自立高媛,崔崇信. 多传感器按对角阵加权信息融合Kalman滤波器[J]. 科学技术与工程, 2004, 4(7): 518-521 |
| |
| 作者姓名： | 邓自立高媛 崔崇信 |
| |
| 作者单位： | 黑龙江大学自动化系,哈尔滨,150080;黑龙江大学自动化系,哈尔滨,150080;黑龙江大学自动化系,哈尔滨,150080 |
| |
| 基金项目： | 国家自然科学基金(60374026) |
| |
| 摘 要： | 在按对角阵加权线性最小方差最优信息融合准则下,提出了多传感器按对角阵加权信息融合稳态Kalman滤波器,它等价于关于状态分量的按标量加权信息融合Kalman滤波器,与按矩阵加权信息融合Kalman滤波器相比,可明显减小计算负担,便于实时应用。一个雷达跟踪的仿真例子说明了其有效性。
|
| 关 键 词： | 多传感器 线性最小方差 最优信息融合准则 按对角阵加权 信息融合稳态Kalman滤波器 |
| 文章编号： | 1671-1815(2004)07-0518-04 |
| 修稿时间： | 2004-03-02 |
Multisensor Information Fusion Kalman Filter Weighted by Diagonal Matrices |
| |
| DENG Zili,GAO Yuan,CUI Chongxin . Multisensor Information Fusion Kalman Filter Weighted by Diagonal Matrices[J]. Science Technology and Engineering, 2004, 4(7): 518-521 |
| |
| Authors: | DENG Zili GAO Yuan CUI Chongxin |
| |
| Affiliation: | DENG Zili,GAO Yuan,CUI Chongxin Department of Automation,Heilongjiang University,Harbin 150080 |
| |
| Abstract: | Under the linear minimum variance optimal information fusion criterion weighted by diagonal matrices, a multisensor information fusion steady-state Kalman filter weighted by diagonal matrices is presented, which is equivalent to the information fusion Kalman filters weighted by scalars for the state components. Compared with the information fusion Kalman filter weighted by matrices, it obviously reduces the computional burden, and is suitable for real time applications. A simulation example for a radar tracking system shows its effectiveness. |
| |
| Keywords: | multisensor linear minimum variance optimal information criterion weighted by diagonal matrices information fusion steady-state Kalman filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
|
点击此处可从《科学技术与工程》下载全文 |
|
