A robust Kalman filter time scale algorithm with data anomaly
文献类型：期刊论文
| 作者 | Song, H.1,2; Dong, S.1,2,3; Qu, L.1,2; Wang, X.1,2; Guo, D.1,2 |
| 刊名 | JOURNAL OF INSTRUMENTATION
 |
| 出版日期 | 2021-06-01 |
| 卷号 | 16期号:6页码:20 |
| 关键词 | Analysis and statistical methods Control and monitor systems online Data processing methods |
| ISSN号 | 1748-0221 |
| DOI | 10.1088/1748-0221/16/06/P06032 |
| 英文摘要 | 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. |
| WOS关键词 | MODEL |
| 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] |
| WOS研究方向 | Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000682949000020 |
| 出版者 | IOP PUBLISHING LTD |
| 资助机构 | 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) |
| 源URL | [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. |
入库方式： OAI收割
来源：国家授时中心
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