[1]万振刚,周百令,马云峰,等.自适应联合H∞滤波器及其在组合导航系统中的应用[J].东南大学学报(自然科学版),2004,34(5):623-626.[doi:10.3969/j.issn.1001-0505.2004.05.014]
 Wan Zhengang,Zhou Bailing,Ma Yunfeng,et al.Adaptive federated H∞ filter and its application in integrated navigation system[J].Journal of Southeast University (Natural Science Edition),2004,34(5):623-626.[doi:10.3969/j.issn.1001-0505.2004.05.014]
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自适应联合H滤波器及其在组合导航系统中的应用()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第5期
页码:
623-626
栏目:
电磁场与微波技术
出版日期:
2004-09-20

文章信息/Info

Title:
Adaptive federated H filter and its application in integrated navigation system
作者:
万振刚 周百令 马云峰 黄丽斌 顾春杰
东南大学仪器科学与工程系, 南京 210096
Author(s):
Wan Zhengang Zhou Bailing Ma Yunfeng Huang Libin Gu Chunjie
Department of Instrument Science and Technology, Southeast University, Nanjing 210096, China
关键词:
H滤波 组合导航 自适应算法 MIMU Elman网络
Keywords:
H filter integrated navigation adaptive algorithm MIMU Elman network
分类号:
TN967.2
DOI:
10.3969/j.issn.1001-0505.2004.05.014
摘要:
研究了联合H滤波模型融合信息在各子滤波器中的分配原则,利用改进的Elman网络设计了信息分配系数自适应调节算法,给出了引用此算法的自适应联合H滤波器模型,并且给出了该模型的详细算法.MIMU/GPS/HMR组合导航系统的仿真结果表明,应用本文提出的自适应联合H滤波器实现了融合信息在各局部滤波器和主滤波器的自适应分配,提高了系统状态估计精度和滤波器解算速度.
Abstract:
The information allocation method of federated H filter was studied. An adaptive algorithm of the information sharing coefficients was designed based on advanced Elman networks. Moreover, a new model of the adaptive federated H filter was presented. As an example of application, the new filter was applied to MIMU(micro-inertial measurement unit)/GPS(global positioning system)/HMR integrated navigation system. The computer simulation results prove that the adaptive federated H filter can not only realize the adaptive distribution of fusion information but also greatly improve the system state accuracy and computing speed.

参考文献/References:

[1] 单茂华,周百令,黄丽斌.联合H滤波算法及其在组合导航系统中的应用研究 [J].数据采集与处理,2003,18(4):418-422.
  Shan Maohua,Zhou Bailing,Huang Libin.Federated H filtering algorithm and its application in integrated navigation system [J]. Journal of Data Acquisition & Processing, 2003,18(4):418-422.(in Chinese)
[2] Jin S H,Park J B,Kim K K,et al.Krein space approach to decentralized H state estimation [J].IEE Proceedings — Control Theory and Applications, 2001,148(6):502-508.
[3] Calson N A.Federated filter for computer-efficient,near-optimal GPS integration [A].In:Position Location and Navigation Symposium[C].Atlanta,GA,USA,1996.306-314.
[4] 房建成,申功勋,万德钧.车载GPS-DR-地图匹配组合导航系统的自适应联合卡尔曼滤波模型[J].控制与决策,1999,14(5):448-452.
  Fang Jiancheng,Shen Gongxun,Wan Dejun.An adaptive federated Kalman filter model for GPS/DR/Map matching integrated navigation system in land vehicle [J].Control and Decision, 1999,14(5):448-452.(in Chinese)
[5] 周哲,翁海娜,庄良杰.联合卡尔曼滤波及其在舰船综合导航系统中的应用[J].控制与决策,2000,15(4):502-506.
  Zhou Zhe,Weng Haina,Zhuang Liangjie.Federated Kalman filtering and its application to ship integrated navigation system [J]. Control and Decision,2000,15(4):502-506.(in Chinese)
[6] 陈兵舫,张育林,越华丽.INS-GPS-Odometer组合系统初始对准及自适应联合滤波[J].宇航学报,2001,22(6):58-63.
  Chen Bingfang,Zhang Yulin,Zhao Huali.Initial alignment of INS/GPS/Odometer integrated system and adaptive federated Kalman filter [J].Journal of Astronautics,2001,22(6):58-63.(in Chinese)
[7] Li Xiang,Chen Zengqiang,Yuan Zhuzhi.Nonlinear stable adaptive control based upon Elman networks [J].Applied Mathematics, 2000,15(3):332-340.
[8] 谢庆国,万淑芸,赵金.一种Elman回归网络的设计方法[J].华中科技大学学报,2002,30(3):22-24.
  Xie Qingguo,Wan Shuyun,Zhao Jin.A systemic for Elman recurrent network [J].Huazhong Univ of Sci & Tech, 2002,30(3):22-24.(in Chinese)

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备注/Memo

备注/Memo:
作者简介: 万振刚(1974—),男,博士生; 周百令(联系人), 男,教授,博士生导师,zg_wan@sina.com.
更新日期/Last Update: 2004-09-20