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引入强跟踪滤波器的 IMM 算法在导航定位解算中的应用
引用本文:刘宇玺,吴鹏,刘文祥,王飞雪.引入强跟踪滤波器的 IMM 算法在导航定位解算中的应用[J].全球定位系统,2014(5):46-50.
作者姓名:刘宇玺  吴鹏  刘文祥  王飞雪
作者单位:国防科学技术大学电子科学与工程学院卫星导航定位技术工程研究中心,湖南长沙,410073
摘    要:针对单一模型对城市机动载体运动状态估计不足的问题,本文在标准交互式多模型算法的基础上引入强跟踪滤波器,并以“当前”模型和“CV”模型作为基础模型进行交互式模型滤波。利用信号源仿真动态数据分析对比了利用单一模型算法、标准交互式多模型算法和引入强跟踪滤波器的交互式多模型算法的定位解算性能。实验结果表明:本文提出的基于强跟踪滤波器的交互式多模型算法相比于“当前”模型滤波和标准IM M 算法径向误差方差分别从19.11和16.78降低到13.24.

关 键 词:多模型  强跟踪滤波器  定位解算

The Application of IMM Algorithm Combined with Strong Tracking Filter on Navigation Positioning
LIU Yuxi,WU Peng,LIU Wenxiang,WANG Feixue.The Application of IMM Algorithm Combined with Strong Tracking Filter on Navigation Positioning[J].Gnss World of China,2014(5):46-50.
Authors:LIU Yuxi  WU Peng  LIU Wenxiang  WANG Feixue
Institution:(Satellite Navigation and Positioning Technology Engineering Research Center, Electronic Science and Engineering School, National University of Defense Technology, Changsha Hunan 410073, China)
Abstract:To cope with the problem that using single model can’t sufficiently evaluate the maneuver station of the vehicle .In this paper ,strong tracking filter is take into standard interactive multiple-model(IMM) algorithm .Using“Current”model and“CV”model as the foundation models to make interactive filtering .Using the signal generator simulates the ve-hicle’s movement and compared the traditional single-model algorithm and standard IM M al-gorithm with the improved algorithm proposed in this paper ,the experiment result shows that the improved IM M algorithm can increase the positioning accuracy .
Keywords:Multiple models  strong yracking filtering(STF)  positioning
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