Regenerative Pseudo-Random Code Ranging Orbit Determination Accuracy Analysis for Chang’E-4 Relay Satellite

Journal of Deep Space Exploration ›› 2022, Vol. 9 ›› Issue (1) : 21 -28.

PDF (1914KB)
Journal of Deep Space Exploration ›› 2022, Vol. 9 ›› Issue (1) : 21 -28. DOI: 10.15982/j.issn.2096-9287.2022.20191213002
Special Issue:Technology and Application of Deep Space Exploration
Special Issue:Technology and Application of Deep Space Exploration

Regenerative Pseudo-Random Code Ranging Orbit Determination Accuracy Analysis for Chang’E-4 Relay Satellite

Author information +
History +
PDF (1914KB)

Abstract

Flying on the mission orbit at the Earth-Moon L2, the Chang'e-4 relay sattellite carried out the experiment of regenerative pseudo-random code ranging, during which the regenerative pseudo-random code ranging and the sidetones ranging were both utilized. The regenerative pseudo-random code ranging data and the side tone ranging data of the Chang’E 4 relay satellite, which are flying on the mission orbit at the Earth-Moon L2 libration point, are used to evaluate their orbit determination accuracies. The results show that the RMS of the regenerative pseudo-random code ranging data is one order of magnitude better than that of the sidetones ranging data, and the orbit determination and prediction accuracy of the regenerative pseudo random code ranging data is twice as good as that of the side tone ranging data. This is a reliable reference for the application of regenerative pseudo-random code ranging in the future Chinese deep space exploration missions.

Keywords

Chang’E-4 satellite / relay satellite mission / regenerative pseudo-random code ranging / tone ranging / orbit determination / accuracy analysis

Cite this article

Download citation ▾
null. Regenerative Pseudo-Random Code Ranging Orbit Determination Accuracy Analysis for Chang’E-4 Relay Satellite. Journal of Deep Space Exploration, 2022, 9(1): 21-28 DOI:10.15982/j.issn.2096-9287.2022.20191213002

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (1914KB)

736

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/