IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5895847.html
   My bibliography  Save this article

The Inertial Integrated Navigation Algorithms in the Polar Region

Author

Listed:
  • Li-Jun Song
  • Guang-Qiao Yang
  • Wang-Liang Zhao
  • You-Jun Ding
  • Feng Wu
  • Xing He

Abstract

Because the accuracy of the existing airborne navigation is lacking in the polar region, it is difficult to ensure the safety and reliability of the aircraft when it is flying over the polar region. The integrated navigation system based on the inertial navigation technology uses multi-information fusion to assist collaborative navigation and obtain an indirect grid navigation algorithm that combines the azimuth navigation algorithm and the grid navigation algorithm to solve the existing problems. This paper analyzes the principle of the inertial navigation system in the polar region, the semiphysical simulation experiments are carried out by using the navigation theory and the background engineering, and the accuracies of the integrated navigation system of the indirect grid frame in the polar region and the integrated navigation system in the middle and low latitudes are consistent, which verifies the feasibility and effectiveness of the SINS/CNS/GPS integrated navigation system in the polar region. In addition, the paper provides the theoretical basis and the application of engineering to achieve the SINS/CNS/GPS integrated navigation system in the polar region.

Suggested Citation

  • Li-Jun Song & Guang-Qiao Yang & Wang-Liang Zhao & You-Jun Ding & Feng Wu & Xing He, 2020. "The Inertial Integrated Navigation Algorithms in the Polar Region," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-9, October.
    • Handle: RePEc:hin:jnlmpe:5895847
    DOI: 10.1155/2020/5895847
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/5895847.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2020/5895847.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/5895847?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Zhao & Qinghua Zeng & Jianye Liu & Chunlei Gao & Tianyu Zhao, 2021. "A new polar alignment algorithm based on the Huber estimation filter with the aid of BeiDou Navigation Satellite System," International Journal of Distributed Sensor Networks, , vol. 17(3), pages 15501477211, March.

    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:5895847. 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.