An adaptive filter for INS/GPS integrated navigation system

被引：0
|
作者：
Shi, Hang [1 ]
Wu, Zhou [2 ]
Liu, Baosheng [3 ]
机构：
[1] Tsinghua Univ, State Key Lab Intelligent Technol & Syst, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
[2] Natl Univ Def Technol, Sch Mech Engn & Automat, Changsha 410073, Hunan, Peoples R China
[3] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2 | 2006年
关键词：
INS/GPS Integrated Navigation[YUA; 93; H infinity robust filter; adaptive filter;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The integrated navigation system, specially the system based on GPS and INS, is a leading trend of navigation technology, and some of typical integrated navigation systems have been developed and tested in the past few years[FAR,98]. But due to the complex application circumstance, it is difficult to describe the noise statistical property accurately. In this paper, a modified adaptive filter algorithm is presented for INS/GPS Integrated Navigation system. At first, a improved Kalman filter and H-infinity robust filter are explicitly represented for INS/GPS Integrated Navigation system. Meanwhile, an standard for judging that whether the filter trends to divergence is proposed to combine the two methods. Aiming at the detail position/velocity integrated mode, the computer simulation result of INS/GPS integrated navigation show that this method can restrain the divergence effectively and has better adaptive ability. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4281733
引用
收藏
页码：651 / +
页数：2
相关论文
共 50 条
  • [1] Adaptive Kalman Filter for INS/GPS Integrated Navigation System
    Xu, Tianlai
    [J]. INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 332 - 335
  • [2] Study on Adaptive Filter with MEMS-INS/GPS Integrated Navigation system
    Duan, Fengyang
    Yu, Huadong
    Li, Xiaolong
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-7, CONFERENCE PROCEEDINGS, 2009, : 401 - +
  • [3] Adaptive fuzzy Kalman filter based on INS/GPS integrated navigation system
    Xiao, Zhi-Tao
    Zhao, Pei-Pei
    Li, Shi-Xin
    [J]. Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2010, 18 (02): : 195 - 198
  • [4] IAE-adaptive Kalman filter for INS/GPS integrated navigation system
    Bian, Hongwei
    Jin, Zhihua
    Tian, Weifeng
    [J]. Journal of Systems Engineering and Electronics, 2006, 17 (03) : 502 - 508
  • [5] IAE-adaptive Kalman filter for INS/GPS integrated navigation system
    Bian Hongwei~ 1
    2. Dept. of Electrical Engineering of Naval Univ. of Engineering
    [J]. Journal of Systems Engineering and Electronics, 2006, (03) : 502 - 508
  • [6] Study on adaptive GPS/INS integrated navigation system
    Wang, B
    Wang, J
    Wu, JP
    Cai, BG
    [J]. 2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 1016 - 1021
  • [7] An Improved Innovation Adaptive Kalman Filter for Integrated INS/GPS Navigation
    Sun, Bo
    Zhang, Zhenwei
    Qiao, Dianju
    Mu, Xiaotong
    Hu, Xiaochen
    [J]. SUSTAINABILITY, 2022, 14 (18)
  • [8] Multiple Adaptive Fading Cubature Kalman Filter for INS/GPS Integrated Navigation
    Lin, Wei
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND TRANSPORTATION 2015, 2016, 30 : 1895 - 1899
  • [9] The application of adaptive federated filter in GPS-INS-odometer integrated navigation
    Li Z.
    Wang J.
    Gao J.
    Yao Y.
    [J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2016, 45 (02): : 157 - 163
  • [10] Innovation-based estimation adaptive Kalman filter algorithm for INS/GPS integrated navigation system
    Dept. of Instrument Science and Eng., Shanghai Jiaotong Univ., Shanghai 200030, China
    不详
    [J]. Shanghai Jiaotong Daxue Xuebao, 2006, 6 (1000-1003+1009):
12345