IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7281035.html
   My bibliography  Save this article

Study of Simulation Platform for BDS/INS/CNS Deep Integration Navigation

Author

Listed:
  • Zhaoyang Zuo
  • Bo Yang
  • Chunguo Yue
  • Dongrong Meng

Abstract

In this paper, INS/CNS (CINS) is integrated into a module, and then CINS and BDS are further combined to form a deep integrated BDS/INS/CNS navigation system, which can significantly improve the navigation, positioning, and attitude measurement accuracy under high dynamic and strong interference conditions. It has broad application prospects for specific users such as high-altitude long-endurance Unmanned Aerial Vehicle (UAV) and high-maneuvering glider. In order to verify and analyze the algorithm and performance of the deep integrated navigation system, the design and implementation of BDS/INS/CNS deep integrated navigation simulation platform are presented and the overall architecture, information flow, and the composition of each subsystem of the simulation platform are introduced. The simulation results show that, under high dynamic conditions, the position accuracy of the BDS/INS/CNS deep integrated navigation system is better than 1 m, the speed accuracy is better than 0.1 m/s, and the overall performance is better than the BDS/INS deep integrated navigation system. It also verifies the availability of the simulation platform, which has guiding significance for the next design of BDS/INS/CNS deep integrated navigation prototype.

Suggested Citation

  • Zhaoyang Zuo & Bo Yang & Chunguo Yue & Dongrong Meng, 2020. "Study of Simulation Platform for BDS/INS/CNS Deep Integration Navigation," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, October.
    • Handle: RePEc:hin:jnlmpe:7281035
    DOI: 10.1155/2020/7281035
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/7281035.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2020/7281035.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/7281035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:7281035. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.