ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment

doi:10.3390/s23115176

NTSC-IR > 授时方法与技术研究室

	ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment
	Liu, Shiyao 1,2; Guo, Wei 1,2; Hua, Yu 1,2; Kou, Wudian 1,2
	2023-05-29
发表期刊	SENSORS
卷号	23 期号:11 页码:25
摘要	The core of eLoran ground-based timing navigation systems is the accurate measurement of groundwave propagation delay. However, meteorological changes will disturb the conductive characteristic factors along the groundwave propagation path, especially for a complex terrestrial propagation environment, and may even lead to microsecond-level propagation delay fluctuation, seriously affecting the timing accuracy of the system. Aiming at this problem, this paper proposes a propagation delay prediction model based on a Back-Propagation neural network (BPNN) for a complex meteorological environment, which realizes the function of directly mapping propagation delay fluctuation through meteorological factors. First, the theoretical influence of meteorological factors on each component of propagation delay is analyzed based on calculation parameters. Then, through the correlation analysis of the measured data, the complex relationship between the seven main meteorological factors and the propagation delay, as well as their regional differences, are demonstrated. Finally, a BPNN prediction model considering regional changes of multiple meteorological factors is proposed, and the validity of the model is verified by long-term collected data. Experimental results show that the proposed model can effectively predict the propagation delay fluctuation in the next few days, and its overall performance is significantly improved compared with that of the existing linear model and simple neural network model.
关键词	eLoran meteorological factor propagation delay prediction model Back-Propagation neural network
资助者	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS
DOI	10.3390/s23115176
关键词[WOS]	WAVE-PROPAGATION ; GROUND-WAVE
语种	英语
资助项目	National Natural Science Foundation of China[11803040] ; Key Research Program of Frontier Sciences of CAS[QYZDJ-SSW-JSC034]
资助者	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Key Research Program of Frontier Sciences of CAS
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:001005756900001
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/361003/14202
专题	授时方法与技术研究室
通讯作者	Liu, Shiyao
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 2.Chinese Acad Sci, Key Lab Precise Positioning & Timing Technol, Xian 710600, Peoples R China
推荐引用方式 GB/T 7714	Liu, Shiyao,Guo, Wei,Hua, Yu,et al. ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment[J]. SENSORS,2023,23(11):25.
APA	Liu, Shiyao,Guo, Wei,Hua, Yu,&Kou, Wudian.(2023).ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment.SENSORS,23(11),25.
MLA	Liu, Shiyao,et al."ELoran Propagation Delay Prediction Model Based on a BP Neural Network for a Complex Meteorological Environment".SENSORS 23.11(2023):25.