Next Article in Journal
Classification for Human Balance Capacity Based on Visual Stimulation under a Virtual Reality Environment
Previous Article in Journal
Exploration of Chlorophyll a Fluorescence and Plant Gas Exchange Parameters as Indicators of Drought Tolerance in Perennial Ryegrass
Open AccessArticle

Corrections of BDS Code Multipath Error in Geostationary Orbit Satellite and Their Application in Precise Data Processing

1
GNSS Research Center, Wuhan University, Luoyu Road 129, Wuhan 430079, China
2
School of Electronic and Information Engineering, Beihang University, 37 Xueyuan Road, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(12), 2737; https://doi.org/10.3390/s19122737
Received: 11 May 2019 / Revised: 13 June 2019 / Accepted: 15 June 2019 / Published: 18 June 2019
(This article belongs to the Section Remote Sensors)
Multipath error is a main error source in Global Navigation Satellite System (GNSS) data processing, which cannot be removed by a differential technique because of the strong relationship with the environment around the station. The multipath effect of the code observables is more complex than that of the carrier-phase observables, especially for BeiDou Navigation Satellite System (BDS) geostationary orbit (GEO) satellites. In this contribution, we deeply analyzed the characteristic and effect on the precise data processing of GEO satellite multipath errors based on a large number of permanent GNSS stations. A linear combination of code and carrier-phase observables was used to analyze the characteristics of repeatability for BDS GEO’s multipath. Then, a correction method was proposed to eliminate the multipath error of the GEO code observables, based on wavelet transform. The experiment data were collected at 83 globally distributed stations, from multi-GNSS experiments and national BDS augmentation systems, from days 32 to 66 in 2017. The results show that the systematic multipath variation component of the GEO code observables can be obtained with wavelet transform, which can significantly contribute to correcting the multipath error of GEO satellites. The average root mean square error (RMSE) of the multipath series is decreased by approximately 19.5%, 20.2%, and 7.5% for B1, B2, and B3, respectively. In addition, some experiments, including ionospheric delay extraction and satellite clock estimation, were conducted in simulated real-time mode in order to validate the effect of the correction methods. For the ionospheric delay estimation, the average RMSE of the slant ionospheric delay is reduced by approximately 15.5%. Moreover, the multipath correction can contribute greatly to shortening the convergence time of the satellite clock estimation of the BDS GEO satellites. View Full-Text
Keywords: geostationary orbit satellite; multipath error; wavelet transform; satellite clock estimation; ionospheric delay geostationary orbit satellite; multipath error; wavelet transform; satellite clock estimation; ionospheric delay
Show Figures

Figure 1

MDPI and ACS Style

Song, W.; Wu, Q.; Gong, X.; Zheng, F.; Lou, Y. Corrections of BDS Code Multipath Error in Geostationary Orbit Satellite and Their Application in Precise Data Processing. Sensors 2019, 19, 2737.

AMA Style

Song W, Wu Q, Gong X, Zheng F, Lou Y. Corrections of BDS Code Multipath Error in Geostationary Orbit Satellite and Their Application in Precise Data Processing. Sensors. 2019; 19(12):2737.

Chicago/Turabian Style

Song, Weiwei; Wu, Qiong; Gong, Xiaopeng; Zheng, Fu; Lou, Yidong. 2019. "Corrections of BDS Code Multipath Error in Geostationary Orbit Satellite and Their Application in Precise Data Processing" Sensors 19, no. 12: 2737.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop