A robust Kalman filter time scale algorithm with data anomaly

doi:10.1088/1748-0221/16/06/P06032

NTSC-IR

	A robust Kalman filter time scale algorithm with data anomaly
	Song, H.1,2; Dong, S.1,2,3; Qu, L.1,2; Wang, X.1,2; Guo, D.1,2
	2021-06-01
发表期刊	JOURNAL OF INSTRUMENTATION
ISSN	1748-0221
卷号	16 期号:6 页码:20
摘要	Kalman filtering is utilized in many fields because of its capability to separate data from white phase noise. In time and frequency domain, employing Kalman filter is particularly important because of its use in building time scales. The studied time scale algorithms have been usually based on an ensemble of clocks without data anomaly, or the anomaly data is processed in advance to secure the reliability of the data used in Kalman filter algorithm. This increases the amount of computation and affects the real-time performance of the algorithm. In this study a robust Kalman filter is employed to present a method of time scale calculation. It extends a previously published Kalman filter algorithm that is useful for an ensemble of clocks without phase anomalies. In the algorithm, the inflation factor and the optimal adaptive factor are applied to the clock ensemble. The introduced algorithm may be useful for an ensemble of clocks with measurement outliers and phase jumps. The effectiveness of the proposed method can be verified through simulation and experimental analysis. The analysis result shows that the robust Kalman filter algorithm can resist the influence of measurement outliers and phase jumps on time scale performance. So, the accuracy and the stability of time scale can be improved.
关键词	Analysis and statistical methods Control and monitor systems online Data processing methods
资助者	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC)
DOI	10.1088/1748-0221/16/06/P06032
关键词[WOS]	MODEL
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[11703030] ; National Natural Science Foundation of China (NSFC)[11873049] ; National Natural Science Foundation of China (NSFC)[11773030]
资助者	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC)
WOS研究方向	Instruments & Instrumentation
WOS类目	Instruments & Instrumentation
WOS记录号	WOS:000682949000020
出版者	IOP PUBLISHING LTD
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/10643
专题	中国科学院国家授时中心
通讯作者	Dong, S.
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 2.Chinese Acad Sci, Key Lab Time & Frequency Primary Stand, Xian 710600, Peoples R China 3.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Song, H.,Dong, S.,Qu, L.,et al. A robust Kalman filter time scale algorithm with data anomaly[J]. JOURNAL OF INSTRUMENTATION,2021,16(6):20.
APA	Song, H.,Dong, S.,Qu, L.,Wang, X.,&Guo, D..(2021).A robust Kalman filter time scale algorithm with data anomaly.JOURNAL OF INSTRUMENTATION,16(6),20.
MLA	Song, H.,et al."A robust Kalman filter time scale algorithm with data anomaly".JOURNAL OF INSTRUMENTATION 16.6(2021):20.