NAOC Open IR
Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling
Chen, Lue1,2,3,4; Ping, Jinsong2,3; Cao, Jianfeng4; Liu, Xiang1; Wang, Na1; Wang, Zhen1; Zhu, Ping5; Wang, Mei4; Man, Haijun4; Fan, Fei6; Lu, Weitao4; Sun, Jing2; Han, Songtao4
2021-07-01
Source PublicationREMOTE SENSING
Volume13Issue:14Pages:17
AbstractThe 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.
KeywordDoppler frequency retrieving local correlation open-loop Mars exploration
Funding OrganizationNational 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
DOI10.3390/rs13142846
WOS KeywordMARS ; TRACKING
Language英语
Funding ProjectNational 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 OrganizationNational 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 AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000677138800001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/76232
Collection中国科学院国家天文台
Corresponding AuthorPing, Jinsong
Affiliation1.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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