Institutional Repository of Radio Astronomy Research Laboratory
| 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
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| 2021-07-01 | |
| Source Publication | REMOTE SENSING
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| Volume | 13Issue:14Pages:2846 |
| Contribution Rank | 1 |
| 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 |
| DOI | 10.3390/rs13142846 |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | MARS ; TRACKING |
| 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] |
| 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 |
| Funding Organization | National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences Foundation of the young scholars of western China |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/4211 |
| Collection | 射电天文研究室_脉冲星研究团组 射电天文研究室 射电天文研究室_星系宇宙学研究团组 射电天文研究室_行星科学研究团组 |
| 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 |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| 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):2846. |
| 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),2846. |
| MLA | Chen, Lue,et al."Retrieving Doppler Frequency via Local Correlation Method of Segmented Modeling".REMOTE SENSING 13.14(2021):2846. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Chen-2021-Retrieving（5222KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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