Influence of the GLONASS inter-frequency bias on differential code bias estimation and ionospheric modeling

GPS Solutions ◽  
2017 ◽  
Vol 21 (3) ◽  
pp. 1355-1367 ◽  
Author(s):  
Xiaohong Zhang ◽  
Weiliang Xie ◽  
Xiaodong Ren ◽  
Xingxing Li ◽  
Keke Zhang ◽  
...  
Keyword(s):  
Bias Estimation ◽  
Differential Code Bias ◽  
Ionospheric Modeling ◽  
Code Bias

scholarly journals BDS-3 differential code bias estimation with undifferenced uncombined model based on triple-frequency observation

2020 ◽  
Vol 94 (4) ◽  
Author(s):  
Shengfeng Gu ◽  
YinTong Wang ◽  
Qile Zhao ◽  
Fu Zheng ◽  
Xiaopeng Gong
Keyword(s):  
Bias Estimation ◽  
Differential Code Bias ◽  
Model Based ◽  
Triple Frequency ◽  
Code Bias ◽  
Frequency Observation

scholarly journals GPS and BeiDou Differential Code Bias Estimation Using Fengyun-3C Satellite Onboard GNSS Observations

2017 ◽  
Vol 9 (12) ◽  
pp. 1239 ◽  
Author(s):  
Wenwen Li ◽  
Min Li ◽  
Chuang Shi ◽  
Rongxin Fang ◽  
Qile Zhao ◽  
...  
Keyword(s):  
Bias Estimation ◽  
Differential Code Bias ◽  
Code Bias ◽  
Gnss Observations

Differential Code Bias Estimation using Multi-GNSS Observations and Global Ionosphere Maps

Navigation ◽  
2014 ◽  
Vol 61 (3) ◽  
pp. 191-201 ◽  
Author(s):  
O. Montenbruck ◽  
A. Hauschild ◽  
P. Steigenberger
Keyword(s):  
Bias Estimation ◽  
Differential Code Bias ◽  
Code Bias ◽  
Gnss Observations

GPS satellite differential code bias estimation with current eleven low earth orbit satellites

2021 ◽  
Vol 95 (7) ◽  
Author(s):  
Xingxing Li ◽  
Wei Zhang ◽  
Keke Zhang ◽  
Qian Zhang ◽  
Xin Li ◽  
...  
Keyword(s):  
Low Earth Orbit ◽  
Earth Orbit ◽  
Bias Estimation ◽  
Differential Code Bias ◽  
Low Earth Orbit Satellites ◽  
Code Bias

Differential code bias estimation based on uncombined PPP with LEO onboard GPS observations

2020 ◽  
Vol 65 (1) ◽  
pp. 541-551 ◽  
Author(s):  
Peiyuan Zhou ◽  
Zhixi Nie ◽  
Yan Xiang ◽  
Jin Wang ◽  
Lan Du ◽  
...  
Keyword(s):  
Bias Estimation ◽  
Differential Code Bias ◽  
Code Bias ◽  
Gps Observations

scholarly journals Impact of flex power on GPS Block IIF differential code biases

GPS Solutions ◽  
2020 ◽  
Vol 24 (4) ◽  
Author(s):  
Özge Gizem Esenbuğa ◽  
André Hauschild
Keyword(s):  
Density Ratio ◽  
Bias Estimation ◽  
International Gnss Service ◽  
Transmit Power ◽  
Differential Code Bias ◽  
Regional Area ◽  
Code Bias ◽  
Block Iif ◽  
German Aerospace ◽  
Gps Block Iif

Abstract GPS Block IIF satellites are able to redistribute the transmit power between the signal components. This ability is called flex power, and it has been developed as a remedy against jamming. Since it is operationally not possible to increase the transmit power for all signal components simultaneously, a redistribution between them is necessary under certain operational situations. Flex power has been active on Block IIF satellites since January 2017 over a specific regional area and has an impact on differential code bias estimation as well as the signal-to-noise density ratio. A network of the International GNSS Service stations containing only Septentrio PolaRx5 and PolaRx5TR receivers between August 1 and November 21, 2019 has been used for differential code bias estimation using GPS L1 C/A, L1 P(Y), L2 P(Y), and L2C signals with and without consideration of the flex power in the estimation process for Block IIF satellites. The estimation results are compared with the German Aerospace Center as well as the Chinese Academy of Sciences DCB products to validate the results.

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