INS/CNS/DNS/XNAV deep integrated navigation in a highly dynamic environment

被引:2
|
作者
Hu, Jintian [1 ]
Liu, Jin [1 ]
Wang, Yidi [2 ]
Ning, Xiaolin [3 ]
机构
[1] Wuhan Univ Sci & Technol, Coll Informat Sci & Engn, Wuhan, Peoples R China
[2] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha, Peoples R China
[3] Beihang Univ, Sch Instrument Sci & Optoelect Engn, Beijing, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Inertial navigation; Kalman filter; X-ray pulsar navigation; Integrated navigation; Celestial navigation; Doppler navigation; ALGORITHM;
D O I
10.1108/AEAT-03-2022-0063
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Purpose This study aims to address the problem of the divergence of traditional inertial navigation system (INS)/celestial navigation system (CNS)-integrated navigation for ballistic missiles. The authors introduce Doppler navigation system (DNS) and X-ray pulsar navigation (XNAV) to the traditional INS/CNS-integrated navigation system and then propose an INS/CNS/DNS/XNAV deep integrated navigation system. Design/methodology/approach DNS and XNAV can provide velocity and position information, respectively. In addition to providing velocity information directly, DNS suppresses the impact of the Doppler effect on pulsar time of arrival (TOA). A pulsar TOA with drift bias is observed during the short navigation process. To solve this problem, the pulsar TOA drift bias model is established. And the parameters of the navigation filter are optimised based on this model. Findings The experimental results show that the INS/CNS/DNS/XNAV deep integrated navigation can suppress the drift of the accelerometer to a certain extent to improve the precision of position and velocity determination. In addition, this integrated navigation method can reduce the required accuracy of inertial navigation, thereby reducing the cost of missile manufacturing and realising low-cost and high-precision navigation. Originality/value The velocity information provided by the DNS can suppress the pulsar TOA drift, thereby improving the positioning accuracy of the XNAV. This reflects the "deep" integration of these two navigation methods.
引用
收藏
页码:180 / 189
页数:10
相关论文
共 50 条
  • [41] INS/MPS/LiDAR Integrated Navigation System Using Federated Kalman Filter in an Indoor Environment
    Lee, Taehoon
    Lee, Byungjin
    Yun, Jaehyun
    Sung, Sangkyung
    2023 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM, PLANS, 2023, : 160 - 166
  • [42] Observability analysis and robust fusion algorithms of GNSS/INS integrated navigation in complex urban environment
    Shen K.
    Liu T.
    Zuo S.
    Deng M.
    Shen, Kai (kshen@bit.edu.cn), 1600, Science Press (41): : 252 - 261
  • [43] Adaptive integrated navigation method of visual positioning/INS in complex multi-medium environment
    Zhang Z.-F.
    Luo J.-J.
    Gong B.-C.
    Zhu Z.-X.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2016, 24 (02): : 190 - 195
  • [44] Performance Analysis of INS/ODO Integrated Navigation with Different Measurement Models in GNSS Denied Environment
    Yu, Peidong
    Liu, Mengkui
    Chen, Yuanjun
    CHINA SATELLITE NAVIGATION CONFERENCE PROCEEDINGS, CSNC 2022, VOL II, 2022, 909 : 341 - 354
  • [45] Deep Learning-Enabled Fusion to Bridge GPS Outages for INS/GPS Integrated Navigation
    Liu, Yaohua
    Luo, Qingsong
    Zhou, Yimin
    IEEE SENSORS JOURNAL, 2022, 22 (09) : 8974 - 8985
  • [46] Using neural networks for dynamic vehicle navigation using integrated GNSS/INS your Romania
    Gabriel, Badescu
    Ovidiu, Stefan
    Nicolae, Pop
    Ioel, Veres Samuel
    Mircea, Ortelecan
    Rodica, Badescu
    2010 INTERNATIONAL CONFERENCE ON COMMUNICATION AND VEHICULAR TECHNOLOGY (ICCVT 2010), VOL I, 2010, : 112 - 115
  • [47] FFT Tracking based High Dynamic GPS/INS Scalar Deeply Integrated Navigation Algorithm
    Liu, Gang
    Guo, Meifeng
    Zhang, Rong
    Zhang, Xinxi
    Cui, Xiaowei
    Liu, Gang
    Zhang, Xinxi
    PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 2927 - 2930
  • [48] USING NEURAL NETWORKS FOR DYNAMIC VEHICLE NAVIGATION USING INTEGRATED GNSS/INS YOUR ROMANIA
    Gabriel, Badescu
    Stefan, Ovidiu
    Nicolae, Pop
    Ioel, Veres Samuel
    Mircea, Ortelecan
    Rodica, Badescu
    2011 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, MEASUREMENT, CIRCUITS AND SYSTEMS (ICIMCS 2011), VOL 2: FUTURE COMMUNICATION AND NETWORKING, 2011, : 23 - +
  • [49] Analysis on Observability and Performance of INS-Range Integrated Navigation System Under Urban Flight Environment
    Byungjin Lee
    Dong-gyun Kim
    Juhwan Lee
    Sangkyung Sung
    Journal of Electrical Engineering & Technology, 2020, 15 : 2331 - 2343
  • [50] Analysis on Observability and Performance of INS-Range Integrated Navigation System Under Urban Flight Environment
    Lee, Byungjin
    Kim, Dong-gyun
    Lee, Juhwan
    Sung, Sangkyung
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2020, 15 (05) : 2331 - 2343