Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (8): 1940-1943.

• 制导、导航与控制 • 上一篇    下一篇

快速联合H滤波在SINS/GPS组合导航中的应用

张磊, 汪渤   

  1. 北京理工大学信息科学技术学院自动控制系, 北京, 100081
  • 收稿日期:2008-05-21 修回日期:2008-11-30 出版日期:2009-08-20 发布日期:2010-01-03
  • 作者简介:张磊(1982- ),男,博士研究生,主要研究方向为导航制导与控制.E-mail:tristone_tim@hotmail.com
  • 基金资助:
    国家部委预研基金(51405030104BQ0171)资助课题

Application of fast federated H filtering in SINS/GPS integrated navigation system

ZHANG Lei, WANG Bo   

  1. Dept. of Automatic Control, School of Information Science and Technology, Beijing Inst. of Technology, Beijing 100081, China
  • Received:2008-05-21 Revised:2008-11-30 Online:2009-08-20 Published:2010-01-03

摘要: 针对捷联惯导/卫星定位(SINS/GPS)组合导航中联合卡尔曼滤波器对系统模型和噪声统计特性的依赖性和算法运算量大等缺点,提出了新的联合H滤波方法.定义了新的联合H滤波公式,提出了融合信息在子滤波器中自适应分配原则,简化了联合H滤波算法.由于H滤波不需要已知噪声的统计特性,因此新算法具有很强的鲁棒性,同时联合算法又可以有效地增加系统的客错能力.仿真实验证明新算法在稳定性和实时性上都有较大提高.

Abstract: Because the effect of federal Kalman filtering in SINS/GPS integrated navigation depends on the system model and the statistical properties of noises,and the computing is complex,a new federal H filtering is brought forward.The new formula of federal H filtering is defined,the adaptive assignment principle of fusion information is advanced and the algorithm is simplified.It is no need to know the statistical properties of noises in H filtering,so the new algorithm has strong robustness and improves the fault-tolerance capability of the system.The simulation result shows that the proposed method is better in stability and real-time characters.

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