中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An eLoran Signal Cycle Identification Method Based on Joint Time-Frequency Domain

文献类型:期刊论文

作者Yan, Wenhe2,3,4; Dong, Ming1; Li, Shifeng2,3,4; Yang, Chaozhong2,4; Yuan, Jiangbin2,4; Hu, Zhaopeng2,4; Hua, Yu2,3,4
刊名REMOTE SENSING
出版日期2022
卷号14期号:2页码:20
关键词eLoran cycle identification skywave interference time of arrival spectrum division
DOI10.3390/rs14020250
英文摘要The eLoran system is an international standardized positioning, navigation, and timing service system, which can complement global navigation satellite systems to cope with navigation and timing warfare. The eLoran receiver measures time-of-arrival (TOA) through cycle identification, which is key in determining timing and positioning accuracy. However, noise and skywave interference can cause cycle identification errors, resulting in TOA-measurement errors that are integral multiples of 10 mu s. Therefore, this article proposes a cycle identification method in the joint time-frequency domain. Based on the spectrum-division method to determine the cycle identification range, the time-domain peak-to-peak ratio and waveform matching are used for accurate cycle identification. The performance of the method is analyzed via simulation. When the signal-to-noise ratio (SNR) >= 0 dB and skywave-to-groundwave ratio (SGR) <= 23 dB, the success rate of cycle identification is 100%; when SNR >= -13 dB and SGR <= 23 dB, the success rate exceeds 75%. To verify its practicability, the method was implemented in the eLoran receiver and tested at three test sites within 1000 km using actual signals emitted by an eLoran system. The results show that the method has a high identification probability and can be used in modern eLoran receivers to improve TOA-measurement accuracy.
WOS关键词NAVIGATION ; DECOMPOSITION ; WAVES
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000747322900001
出版者MDPI
源URL[http://210.72.145.45/handle/361003/13928]  
专题国家授时中心_授时方法与技术研究室
通讯作者Yan, Wenhe
作者单位1.Beijing Inst Tracking & Telecommun Technol, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Key Lab Precise Positioning & Timing Technol, Xian 710600, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China
推荐引用方式
GB/T 7714
Yan, Wenhe,Dong, Ming,Li, Shifeng,et al. An eLoran Signal Cycle Identification Method Based on Joint Time-Frequency Domain[J]. REMOTE SENSING,2022,14(2):20.
APA Yan, Wenhe.,Dong, Ming.,Li, Shifeng.,Yang, Chaozhong.,Yuan, Jiangbin.,...&Hua, Yu.(2022).An eLoran Signal Cycle Identification Method Based on Joint Time-Frequency Domain.REMOTE SENSING,14(2),20.
MLA Yan, Wenhe,et al."An eLoran Signal Cycle Identification Method Based on Joint Time-Frequency Domain".REMOTE SENSING 14.2(2022):20.

入库方式: OAI收割

来源:国家授时中心

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