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]
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 1827  全文点击 1064  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
基金项目  
作者单位E-mail
崔平远 北京工业大学 电子信息与控制工程学院, 北京 100022
哈尔滨工业大学 深空探测基础研究中心,哈尔滨 150001 		cuipy@bjpu.edu.cn; cui@astro.hit.edu.cn; 
黄晓瑞 哈尔滨工业大学 深空探测基础研究中心,哈尔滨 150001  
崔祜涛 哈尔滨工业大学 深空探测基础研究中心,哈尔滨 150001  
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.