Advertisement
Published in:
2018 | OriginalPaper | Chapter
An Efficient Algorithm for Refining Position and Velocity Outputs of Space Borne GNSS Receivers
Authors : Shuhao Chang, Xi Chen, Menglu Wang
Published in: Communications and Networking
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
Space borne GNSS receivers may not have enough tracked GNSS space vehicles due to the geometry caused by high altitude and limited receiver sensitivity. In many cases, such as real-time orbit determination for communication satellites, it is necessary to refine the position and velocity outputs of a space borne GNSS receiver for improved accuracy and robustness before actually using them. Toward this problem, an efficient algorithm jointly using weighted Runge-Kutta integration and cubic Hermite polynomial interpolation is proposed in this work. Simulations are conducted based on the GNSS data of GRACE-B satellite and LING QIAO satellite, the result of which show the proposed algorithm can effectively eliminate outliers and significantly reduce the root mean square error of GNSS position and velocity outputs.