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Study on GNSS-R multi-target detection and location method based on consistency checking
Liu, Cheng1; Xiang, Hengyong2,3; Li, Fang4; Shi, Huli4; Wang, Wei1; Gao, Weiguang1; Zhang, Jie4; Ning, Yongke5
2021-06-01
Source PublicationIET RADAR SONAR AND NAVIGATION
ISSN1751-8784
Volume15Issue:6Pages:605-617
AbstractThe use of GNSS reflected signals to carry out passive detection of space targets is an emerging technical field. Unlike the traditional GNSS-R in large-scale environments such as oceans, vegetation, ice and snow, it is required to identify different targets within the detection range, which is one of the biggest challenges. To solve this problem, a hyperboloid observation equation based on the TDOA location model is constructed, which can eliminate the GNSS satellite orbit error, the satellite atomic clock error and the detection receiver clock error via differential technique. The consistency checking theory based on hypothesis and test is used to detect and distinguish different targets while locating. The simulation results show that the target detection and location accuracy can reach tens of metres, and when the different space targets are separated by 50 m, 100 m, 150 m, 200 m, and 250 m in sequence, the detection success rate of the method is 67.25%, 87.50%, 95.75%, 99.25%, and 99.75%, respectively, which indicates the feasibility and effectiveness of the method. The study provides a feasible technical approach for solving the multi-target problem in GNSS-R space target passive detection.
Funding OrganizationYoung Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China ; Young Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China ; Young Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China ; Young Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China
DOI10.1049/rsn2.12083
Language英语
Funding ProjectYoung Talent Supporting Programme of the China Association for Science and Technology[2019QNRC001] ; Natural Science Foundation of China[42074044] ; Natural Science Foundation of China[61701481]
Funding OrganizationYoung Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China ; Young Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China ; Young Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China ; Young Talent Supporting Programme of the China Association for Science and Technology ; Young Talent Supporting Programme of the China Association for Science and Technology ; Natural Science Foundation of China ; Natural Science Foundation of China
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000643767900001
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/78129
Collection中国科学院国家天文台
Corresponding AuthorLi, Fang
Affiliation1.Beijing Inst Tracking & Telecommun Technol, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Microelect, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China
5.Guilin Univ Elect Technol, Guilin, Peoples R China
Recommended Citation
GB/T 7714
Liu, Cheng,Xiang, Hengyong,Li, Fang,et al. Study on GNSS-R multi-target detection and location method based on consistency checking[J]. IET RADAR SONAR AND NAVIGATION,2021,15(6):605-617.
APA Liu, Cheng.,Xiang, Hengyong.,Li, Fang.,Shi, Huli.,Wang, Wei.,...&Ning, Yongke.(2021).Study on GNSS-R multi-target detection and location method based on consistency checking.IET RADAR SONAR AND NAVIGATION,15(6),605-617.
MLA Liu, Cheng,et al."Study on GNSS-R multi-target detection and location method based on consistency checking".IET RADAR SONAR AND NAVIGATION 15.6(2021):605-617.
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