首页 | 本学科首页   官方微博 | 高级检索  
     

INS/ESGM组合导航系统的多模型自适应滤波技术研究
引用本文:李晓轩,戴永康,翁海娜,庄良杰. INS/ESGM组合导航系统的多模型自适应滤波技术研究[J]. 中国惯性技术学报, 2002, 10(6): 23-28
作者姓名:李晓轩  戴永康  翁海娜  庄良杰
作者单位:1. 中国民用航空学院,天津,300300
2. 天津航海仪器研究所,天津,300131
摘    要:研究了一种随机系统多模型自适应估计的方法,并将此方法应用于INS/ESGM组合导航系统。通过数字仿真将单一模型的INS/ESGM组合导航系统与多模型的INS/ESGM组合导航系统的性能进行了详细比较,说明将多模型自适应估计理论应用于INS/ESGM组合导航系统,可增强系统对环境的适用性,大大提高组合导航系统的精度。

关 键 词:多模型 自适应估计 组合导航系统 卡尔曼滤波 状态估计
文章编号:1005-6734(2002)06-0023-06
修稿时间:2002-09-22

Multiple Model Adaptive Filtering Technique for INS/ESGM Integrated Navigation System
LI Xiao-xuan,DAI Yong-kang,WENG Hai-na,ZHUANG Liang-jie. Multiple Model Adaptive Filtering Technique for INS/ESGM Integrated Navigation System[J]. Journal of Chinese Inertial Technology, 2002, 10(6): 23-28
Authors:LI Xiao-xuan  DAI Yong-kang  WENG Hai-na  ZHUANG Liang-jie
Affiliation:LI Xiao-xuan1,DAI Yong-kang2,WENG Hai-na2,ZHUANG Liang-jie2
Abstract:Based on a deep investigation, a multiple model adaptive estimation method for stochastic systems is dealt with in this paper, and it is applied to INS/ESGM integrated navigation system. Comparing the performance of single model INS/ESGM integrated navigation system with that of multiple model INS/ESGM integrated navigation system by digital simulation, it is showed that introducing multiple model adaptive estimation theory into INS/ESGM integrated navigation system can enhance the adaptability of system scheme to the environment and greatly improve the accuracy of integrated navigation system.
Keywords:multiple model  adaptive estimation  integrated navigation system  Kalman filter  state estimate
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号