Multi-parameter Characterization of Ionospheric Disturbances Based on GNSS Ground-Based CORS Data

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Multi-parameter Characterization of Ionospheric Disturbances Based on GNSS Ground-Based CORS Data

Qian, Hongyi / Chen, Yan / Fu, Haiyang / Ye, Junru / Sui, Yun / Ma, Jiayu

As an important component of the near-Earth space environment, traveling ionospheric disturbances (TID) can affect the signal quality of radio communication and the positioning accuracy of navigation and positioning. In recent years, the further establishment of the Global Navigation Satellite System (GNSS) has provided good data support for the study of GNSS spatial environmental science. The ionospheric features can be studied by calculating the pseudorange and phase observations that allow estimating the Slant Total Electron Content (STEC) in the receiver-satellite paths. In this paper, we firstly achieve high accuracy extraction of STEC based on Undifferenced and Uncombined Precise Point Positioning (UC-PPP). Then, a 3D electron density sparse reconstruction based on Compressed Sensing-Principal Component Analysis (CS-PCA) is applied to Medium-Scale Traveling Ionospheric disturbances (MSTIDs) using the U.S. CORS navigation ground station. The MSTID occurring at 4:30 UT–4:45 UT was verified by data from the U.S. CORS stations on July 20, 2006, and the tomography results showed a clear perturbation trend in the electron density at altitudes of 100 to 220 km. It is demonstrated that the CS-PCA method can effectively invert the perturbation characteristics of ionospheric electron density during MSTID, and can obtain the 3D electron density characteristics that cannot be obtained from two-dimensional dSTEC maps.

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Document information

Title :

Multi-parameter Characterization of Ionospheric Disturbances Based on GNSS Ground-Based CORS Data

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Yang, Changfeng (editor) / Xie, Jun (editor) / Qian, Hongyi (author) / Chen, Yan (author) / Fu, Haiyang (author) / Ye, Junru (author) / Sui, Yun (author) / Ma, Jiayu (author)

Conference:

China Satellite Navigation Conference ; 2022 ; Beijing, China May 22, 2022 - May 25, 2022

Published in:

China Satellite Navigation Conference (CSNC 2022) Proceedings ; Chapter : 5 ; 56-65

Lecture Notes in Electrical Engineering ; 909

Publication date :

2022-05-10

Size :

10 pages

ISBN :

978-981-19-2580-1 , 978-981-19-2579-5

ISSN :