引用本文: | 崔平远,黄晓瑞,崔祜涛.自适应信息融合算法研究与应用(英文)[J].控制理论与应用,2003,20(5):725~728.[点击复制] |
CUI Ping-yuan,HUANG Xiao-rui,CUI Hu-tao.Research on adaptive information fusion algorithm and its application[J].Control Theory and Technology,2003,20(5):725~728.[点击复制] |
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自适应信息融合算法研究与应用(英文) |
Research on adaptive information fusion algorithm and its application |
摘要点击 2155 全文点击 1155 投稿时间:2001-06-23 修订日期:2003-02-21 |
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DOI编号 10.7641/j.issn.1000-8152.2003.5.014 |
2003,20(5):725-728 |
中文关键词 信息融合 ARMA模型 信息分配 组合导航 |
英文关键词 information fusion ARMA model information sharing integrated navigation |
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中文摘要 |
以组合导航系统为应用背景, 对基于自适应联合卡尔曼滤波的信息融合算法进行了研究, 将ARMA模型和自适应调节的信息分配因子应用于联合滤波中, 完成信息融合, 并以GPS/INS系统为例, 进行了半实物仿真, 结果表明, 该方法可有效抑制滤波发散, 并提高整个系统的精度和收敛速度. |
英文摘要 |
The integrated navigation system was taken as research background and an information fusion algorithm based on adaptive federal Kalman filter (AFKF) was studied. ARMA model and self-adapting information sharing factor were applied to federal filter so as to accomplish information fusion. The semi-physical simulation of GPS/INS system is carried out, and the results illustrate that this method can inhibit divergence of filter and improve the accuracy and convergence speed of the whole system. |
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