IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6137308.html
   My bibliography  Save this article

Research on Algorithms for Multi-Vector Attitude Determination

Author

Listed:
  • Yilin Liu
  • Ruihang Yu
  • Zhiming Xiong
  • Yan Guo
  • Kazem Nouri

Abstract

Various attitude estimation methods are based on an optimization problem posed in 1965 by Grace Wahba, which is called Wahba’s problem in the field of attitude estimation. As a key for attitude determination, many different algorithms for minimizing Wahba’s loss function have been proposed in the past 60 years. Among the most representative are Quaternion Estimator (QUEST), Singular Value Decomposition (SVD), and Fast Optimal Attitude Matrix (FOAM), which are briefly introduced in this research paper, and new algorithms proposed in recent years such as Fast Linear Quaternion Attitude Estimator (FLAE), are also included. The calculation principle and derivation process are given in the article, and simulation under high noise conditions for algorithms mentioned has been completed. Finally, several practical engineering applications related to Wahba’s problem are introduced and the future development trend of attitude estimation is discussed.

Suggested Citation

  • Yilin Liu & Ruihang Yu & Zhiming Xiong & Yan Guo & Kazem Nouri, 2022. "Research on Algorithms for Multi-Vector Attitude Determination," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, September.
    • Handle: RePEc:hin:jnlmpe:6137308
    DOI: 10.1155/2022/6137308
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6137308.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/6137308.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/6137308?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:6137308. 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.