M_DCB: Matlab code for estimating GNSS satellite and receiver differential code biases -- by Rui Jin, Shuanggen Jin, and Guiping Feng

 
 
The technical paper which describes this code is published in  
GPS Solutions, Volume 16, Number 4, October 2012, pages 541-548, DOI: 10.1007/s10291-012-0279-3, "M_DCB: Matlab code for estimating GNSS satellite and receiver differential code biases "  
by Rui Jin (1,2), Shuanggen Jin (1), and Guiping Feng (1,2)  
1-Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China  
2-Graduate University of Chinese Academy of Sciences, Beijing 100049, China  
(S. Jin, Tel: 86-21-34775292, Email: sgjin@shao.ac.cn; sg.jin@yahoo.com)  
 
 
 
Abstract  
The Global Navigation Satellite Systems (GNSS) have been widely used to monitor variations in the earth's ionosphere by estimating total electron content (TEC) using dual-frequency observations. Differential code biases (DCBs) are one of the important error sources in estimating precise TEC from GNSS data. The International GNSS Service (IGS) Analysis Centers have routinely provided DCB estimates for GNSS satellites and IGS ground receivers, but the DCBs for regional- and local-network receivers are not provided. Furthermore, the DCB values of GNSS satellites or receivers are assumed to be constant over one day or one month, which is not always the case. We describe Matlab code to estimate GNSS satellite and receiver DCBs for time intervals from hours to days; the software is called M_DCB. The DCBs of GNSS satellites and ground receivers are tested and evaluated using data from the IGS GNSS network. The estimates from M_DCB show good agreement with the IGS Analysis Centers with a mean difference of less than 0.7 nanoseconds and an RMS of less than 0.4 nanoseconds, even for a single station DCB estimate.  
 
The Matlab code (and sample data files) are available from the following link:  

http://202.127.29.4/geodesy/softwares.html

 
 
 
The Matlab code (and sample data files) are also available on this GPS Toolbox website:  

Zip file with MATLAB software (M_DCB_08Sep2015.zip)

 
 
 
 
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