A real-time, high-accuracy, hardware-based integrated parameter estimator for deep space navigation and planetary radio science experiments | |
Zhou, Chenye1; Wang, Zhen; Li, Wenxiao4,5; Wang, Mingyuan5; Yu, Quantao1; Yao, Shunyu1; Liu, Wei1; Jian, Nianchuan3; Chen, Congyan2; Ping, Jinsong5 | |
刊名 | MEASUREMENT SCIENCE AND TECHNOLOGY |
2019 | |
卷号 | 30期号:1页码:015007 |
关键词 | planetary radio science non-stationary signal processing narrowband signal parameter estimation FPGA |
ISSN号 | 0957-0233 |
DOI | 10.1088/1361-6501/aaedec |
产权排序 | 5 |
英文摘要 | Real-time, high-accuracy frequency-phase estimation is the critical mission of Doppler tracking, which is a primary technique for deep space spacecraft navigation and planetary radio science experiments. Usually, the analog intermediate frequency signal is digitalized and converted to baseband by signal processing hardware platforms called digital back-ends (DBEs) and parameter estimation is performed by extra high performance computers. In this paper, a novel real-time, high-accuracy parameter estimator called a hardware-based integrated parameter estimator (HIPE) is proposed and implemented inside DBEs. An adaptive frequency tracker is proposed to make the initial signal detection, frequency tracking, and data reduction. Then a parameter estimation is sequentially obtained by a modified dechirp technique and a high-resolution spectral analysis technique called spec-zooming. Further, a folding architecture is designed to save hardware resources when realizing spec-zooming in a field programmable gate array (FPGA). An example design is deployed on a DBE with Xilinx Virtex-6 FPGA and an ARM processor. The performance is verified by X-band observations of Mars Express (MEX) and New Horizons (NH). Under an integration time of 1s, HIPE only takes 2.2ms to process single-channel baseband data and provides frequency accuracies of 7 mHz and 30 mHz for the tested MEX and NH data. HIPE is implemented inside DBE, so the extra computer is no longer required and the pressure of data transmission or storage is greatly relieved. It could easily be extended to parallel multi-channel, real-time processing and would be a powerful method for Doppler measurement in deep space exploration missions, such as the Chinese mission to Mars to be undertaken by 2020. |
资助项目 | National Natural Science Foundation of China (NSFC)[U1531104] ; National Natural Science Foundation of China (NSFC)[U1731120] ; Chinese Academy of Sciences (CAS)[U1531104] ; Chinese Academy of Sciences (CAS)[U1731120] ; Program of International Cooperation[S2016G5017] ; National Natural Science Foundation of China[41590851] ; National Key Basic Research and Development Plan[2015CB857101] |
WOS关键词 | DISCRETE ; ERROR |
WOS研究方向 | Engineering ; Instruments & Instrumentation |
语种 | 英语 |
出版者 | IOP PUBLISHING LTD |
WOS记录号 | WOS:000452893000004 |
内容类型 | 期刊论文 |
源URL | [http://ir.xao.ac.cn/handle/45760611-7/2355] |
专题 | 射电天文研究室_行星科学研究组 |
通讯作者 | Meng, Qiao |
作者单位 | 1.Southeast Univ, Inst RF & OE ICs, Nanjing, Jiangsu, Peoples R China 2.Southeast Univ, Sch Automat, Nanjing, Jiangsu, Peoples R China 3.Chinese Acad Sci, Shanghai Astron Observ, Shanghai, Peoples R China 4.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi, Peoples R China 5.Chinese Acad Sci, Key Lab Lunar & Deep Space Explorat, Natl Astron Observ, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Chenye,Wang, Zhen,Li, Wenxiao,et al. A real-time, high-accuracy, hardware-based integrated parameter estimator for deep space navigation and planetary radio science experiments[J]. MEASUREMENT SCIENCE AND TECHNOLOGY,2019,30(1):015007. |
APA | Zhou, Chenye.,Wang, Zhen.,Li, Wenxiao.,Wang, Mingyuan.,Yu, Quantao.,...&Zhang, Tianyi.(2019).A real-time, high-accuracy, hardware-based integrated parameter estimator for deep space navigation and planetary radio science experiments.MEASUREMENT SCIENCE AND TECHNOLOGY,30(1),015007. |
MLA | Zhou, Chenye,et al."A real-time, high-accuracy, hardware-based integrated parameter estimator for deep space navigation and planetary radio science experiments".MEASUREMENT SCIENCE AND TECHNOLOGY 30.1(2019):015007. |
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