Performance evaluation of low-cost GPS/INS in-motion alignment model under ECEF frame. (1st October 2020)
- Record Type:
- Journal Article
- Title:
- Performance evaluation of low-cost GPS/INS in-motion alignment model under ECEF frame. (1st October 2020)
- Main Title:
- Performance evaluation of low-cost GPS/INS in-motion alignment model under ECEF frame
- Authors:
- Zhang, Yunrui
Zhang, Qiuzhao
Ma, Chun - Abstract:
- ABSTRACT: Low-cost GPS/INS integration system is the ideal combination of navigation and positioning. However, the sensitivity of low-cost INS is not good enough for the initial alignment in statics base before navigation. Considering this problem, this paper presents an arbitrary misalignment angle error propagation model which does not rely on small misalignment angles assumption and two simplified versions. These models are presented in the ECEF frame approach and are suitable to implement the in-motion alignment with GPS aided. Another three error models based on quaternion, Rodrigues parameters and modified Rodrigues parameters were also proposed. Three experiments were designed to verify the accuracy and computational efficiency of these error models. The experiments' results showed that the small misalignment angle model was applicable to the small misalignment angle for higher computational efficiency but without improvement of accuracy. And the large misalignment angle is the best error model for the initial alignment of the arbitrary misalignment angle.
- Is Part Of:
- International journal of image and data fusion. Volume 11:Number 4(2020)
- Journal:
- International journal of image and data fusion
- Issue:
- Volume 11:Number 4(2020)
- Issue Display:
- Volume 11, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 2020-0011-0004-0000
- Page Start:
- 331
- Page End:
- 355
- Publication Date:
- 2020-10-01
- Subjects:
- Inertial navigation system -- in-motion alignment -- arbitrary misalignment angle -- low-cost GPS/INS
Image processing -- Periodicals
Multisensor data fusion -- Periodicals
Multisensor data fusion
Periodicals
621.36705 - Journal URLs:
- http://www.informaworld.com/tidf ↗
http://www.tandfonline.com/toc/tidf20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19479832.2020.1813815 ↗
- Languages:
- English
- ISSNs:
- 1947-9832
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22745.xml