Centralized autonomous orbit determination of Beidou navigation satellites with inter-satellite link measurements: preliminary results

2016 ◽  
Vol 47 (2) ◽  
pp. 029501 ◽  
Author(s):  
ChengPan TANG ◽  
XiaoGong HU ◽  
ShanShi ZHOU ◽  
JunYang PAN ◽  
Rui GUO ◽  
...  
2018 ◽  
Vol 92 (10) ◽  
pp. 1155-1169 ◽  
Author(s):  
Chengpan Tang ◽  
Xiaogong Hu ◽  
Shanshi Zhou ◽  
Li Liu ◽  
Junyang Pan ◽  
...  

GPS Solutions ◽  
2020 ◽  
Vol 24 (3) ◽  
Author(s):  
Lei Guo ◽  
Fuhong Wang ◽  
Xuewen Gong ◽  
Jizhang Sang ◽  
Wanke Liu ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Youtao Gao ◽  
Tanran Zhao ◽  
Bingyu Jin ◽  
Junkang Chen ◽  
Bo Xu

In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously determine the orbits of Lagrangian navigation satellites using only satellite-to-satellite range. This autonomous orbit determination method does not require linearizing the dynamical mode. There is no need to calculate the transition matrix. It is proved that three satellite-to-satellite ranges are needed using this method; therefore, the navigation constellation should include four Lagrangian navigation satellites at least. Four satellites orbiting on the collinear libration orbits are chosen to construct a constellation which is used to demonstrate the utility of this method. Simulation results illustrate that the stable error of autonomous orbit determination is about 10 m. The perturbation can be estimated by the neural network.


Author(s):  
Rui Zhang ◽  
Rui Tu ◽  
Pengfei Zhang ◽  
Lihong Fan ◽  
Junqiang Han ◽  
...  

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