An eLoran Signal Cycle Identification Method Based on Joint Time-Frequency Domain

doi:10.3390/rs14020250

NTSC-IR > 授时方法与技术研究室

	An eLoran Signal Cycle Identification Method Based on Joint Time-Frequency Domain
	Yan, Wenhe 1,2,3; Dong, Ming 4; Li, Shifeng 1,2,3; Yang, Chaozhong 1,3; Yuan, Jiangbin 1,3; Hu, Zhaopeng 1,3; Hua, Yu 1,2,3
	2022
发表期刊	REMOTE SENSING
卷号	14 期号:2 页码:20
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.
关键词	eLoran cycle identification skywave interference time of arrival spectrum division
DOI	10.3390/rs14020250
关键词[WOS]	NAVIGATION ; DECOMPOSITION ; WAVES
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000747322900001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/13928
专题	授时方法与技术研究室
通讯作者	Yan, Wenhe
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Precise Positioning & Timing Technol, Xian 710600, Peoples R China 4.Beijing Inst Tracking & Telecommun Technol, Beijing 100094, 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.