Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling

doi:10.3390/rs13142846

NAOC Open IR

	Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling
	Chen, Lue 1,2,3,4; Ping, Jinsong2,3 ; Cao, Jianfeng 4; Liu, Xiang 1; Wang, Na 1; Wang, Zhen1 ; Zhu, Ping 5; Wang, Mei 4; Man, Haijun 4; Fan, Fei 6; Lu, Weitao 4; Sun, Jing 2; Han, Songtao 4
	2021-07-01
Source Publication	REMOTE SENSING
Volume	13 Issue:14 Pages:17
Abstract	The high accuracy radio Doppler frequency is critical for navigating a deep space probe and for planetary radio science experiments. In this paper, we propose a novel method based on the local correlation of segmented modeling to retrieve Doppler frequency by processing an open-loop radio link signal from one single ground station. Simulations are implemented, which prove the validity of this method. Mars Express (MEX) and Tianwen-1 observation experiments were carried out by Chinese Deep Space Stations (CDSS). X-band Doppler frequency observables were retrieved by the proposed method to participate in orbit determination. The results show that the accuracy of velocity residuals of orbit determination in open-loop mode is from 0.043 mm/s to 0.061 mm/s in 1 s integration; the average accuracy of Doppler frequency is about 3.3 mHz in 1 s integration and about 0.73 mHz in 60 s integration. The Doppler accuracy here is better than that of the digital baseband receiver at CDSS. The algorithm is efficient and flexible when the deep space probe is in a high dynamic mode and in low signal to noise ratio (SNR). This will benefit Chinese deep space exploration missions and planetary radio science experiments.
Keyword	Doppler frequency retrieving local correlation open-loop Mars exploration
Funding Organization	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China
DOI	10.3390/rs13142846
WOS Keyword	MARS ; TRACKING
Language	英语
Funding Project	National Natural Science Foundation of China (NSFC)[11603001] ; National Natural Science Foundation of China (NSFC)[41974207] ; National Natural Science Foundation of China (NSFC)[11833001] ; National Natural Science Foundation of China (NSFC)[11973015] ; Chinese Academy of Sciences Foundation of the young scholars of western China[2020-XBQNXZ-019]
Funding Organization	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China ; Chinese Academy of Sciences Foundation of the young scholars of western China
WOS Research Area	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS Subject	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS ID	WOS:000677138800001
Publisher	MDPI
Citation statistics
Document Type	期刊论文
Identifier	http://ir.bao.ac.cn/handle/114a11/76232
Collection	中国科学院国家天文台
Corresponding Author	Ping, Jinsong
Affiliation	1.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Beijing Aerosp Control Ctr, Beijing 100094, Peoples R China 5.Royal Observ Belgium, B-1180 Brussels, Belgium 6.Beijing Inst Tracking & Telecommun Technol, Beijing 100094, Peoples R China
Recommended Citation GB/T 7714	Chen, Lue,Ping, Jinsong,Cao, Jianfeng,et al. Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling[J]. REMOTE SENSING,2021,13(14):17.
APA	Chen, Lue.,Ping, Jinsong.,Cao, Jianfeng.,Liu, Xiang.,Wang, Na.,...&Han, Songtao.(2021).Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling.REMOTE SENSING,13(14),17.
MLA	Chen, Lue,et al."Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling".REMOTE SENSING 13.14(2021):17.

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