| Issue |
E3S Web Conf.
Volume 206, 2020
2020 2nd International Conference on Geoscience and Environmental Chemistry (ICGEC 2020)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 5 | |
| Section | Earth Climate Change And Environmental Chemical Pollution Control | |
| DOI | https://doi.org/10.1051/e3sconf/202020602013 | |
| Published online | 11 November 2020 | |
Performance analysis of GNSS/INS loosely coupled integration systems under GNSS signal blocking environment
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266000, Shandong, China
* Corresponding author: 1147547157@qq.com
Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) are the most widely used navigation systems at present. Aiming at the limitations of a single system application, this paper uses kalman filter to fuse the pose information provided by GNSS and INS, respectively. GNSS has the characteristics of being easily affected by the environment but with high absolute positioning accuracy. INS has the characteristics of high sampling frequency and autonomous navigation, but the error accumulates with time. Combining the advantages of the two systems to achieve the purpose of obtaining higher-precision pose information. In addition, aiming at the problem that GNSS/INS integration cannot provide continuous, stable and reliable navigation solutions under the GNSS signal blocking environment, a smoothing post-processing algorithm for GNSS/INS integration is studied. Through experimental verification, this algorithm can effectively improve the pose accuracy under GNSS signal blocking environment.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.