Predicting Long-Term Frequency Stability: Stochastic Oscillator Noise Analysis

doi:10.1109/TUFFC.2019.2898109

NTSC-IR

	Predicting Long-Term Frequency Stability: Stochastic Oscillator Noise Analysis
	Cheng, Weiwei 1,2; Nie, Guigen 1,3; Wang, Pingli 4; Zhang, Caihong 5; Gao, Yuping 4
	2019-04-01
发表期刊	IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
ISSN	0885-3010
卷号	66 期号:4 页码:804-815
摘要	High-performance frequency standards are affected by power-law noises and characterized by structure functions (i.e., variances). These variances with specified averaging time quantify the frequency stability of the oscillator. To improve the stability estimated from the measured data and extend its maximum averaging time, a method called "StONA" (oscillator noise analysis under stochastic restrictions) is proposed based on convex optimization techniques. StONA also measures the intensity coefficients of noise processes as a by-product of extending averaging time. To test the method against real data, we recompute the distribution regions of total and Hadamard variances estimated from 14 days of satellite clock data and predict the stability of extended averaging time. The recomputed and predicted variances are inconsistent with the ones estimated from 168 days of data and have smaller uncertainty than those estimated from 84 days of time deviations.
关键词	Chi-square distribution convex optimization frequency stability power-law noise (PLN)
资助者	Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program)
DOI	10.1109/TUFFC.2019.2898109
关键词[WOS]	CLOCK
语种	英语
资助项目	Applied Basic Research Program of Wuhan Municipality[2015011701011639] ; National Natural Science Foundation of China[41074023] ; National Natural Science Foundation of China[41304006] ; National Basic Research Program of China (973 Program)[2013CB733205]
资助者	Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program) ; Applied Basic Research Program of Wuhan Municipality ; Applied Basic Research Program of Wuhan Municipality ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Basic Research Program of China (973 Program) ; National Basic Research Program of China (973 Program)
WOS研究方向	Acoustics ; Engineering
WOS类目	Acoustics ; Engineering, Electrical & Electronic
WOS记录号	WOS:000463474000014
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/11881
专题	中国科学院国家授时中心
通讯作者	Nie, Guigen
作者单位	1.Wuhan Univ, GNSS Res Ctr, Wuhan 430072, Peoples R China 2.Foshan Univ, Transportat & Civil Bldg Coll, Foshan 528000, Peoples R China 3.Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Techno, Wuhan 430072, Peoples R China 4.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Shaanxi, Peoples R China 5.China Earthquake Adm, Inst Seimol, Wuhan 430071, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Weiwei,Nie, Guigen,Wang, Pingli,et al. Predicting Long-Term Frequency Stability: Stochastic Oscillator Noise Analysis[J]. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL,2019,66(4):804-815.
APA	Cheng, Weiwei,Nie, Guigen,Wang, Pingli,Zhang, Caihong,&Gao, Yuping.(2019).Predicting Long-Term Frequency Stability: Stochastic Oscillator Noise Analysis.IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL,66(4),804-815.
MLA	Cheng, Weiwei,et al."Predicting Long-Term Frequency Stability: Stochastic Oscillator Noise Analysis".IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL 66.4(2019):804-815.