A Method for Local Clock’s Error With Kalman Filter Based on Mahalanobis Distance

Autor:	Xinghua Chi, Zhaohan Zhu, Zhouyang Dong, Fenghui Xu, Jian Xu
Rok vydání:	2020
Předmět:	Mahalanobis distance business.industry Computer science Pattern recognition Artificial intelligence Kalman filter business
Zdroj:	IOP Conference Series: Earth and Environmental Science. 526:012145
ISSN:	1755-1315 1755-1307
Popis:	In order to improve the punctuality of local clock, it needs to use a proper filter to weaken the influence caused by noise in raw clock’s error data. In this paper, An improved Kalman Filter based on Mahalanobis distance is proposed, and the process are shown in details. The final test shows the effectiveness of the improved method in estimation of local clock’s error with gross error.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c7bd9d3af48f8deb26197d5dfc6d9d63 https://doi.org/10.1088/1755-1315/526/1/012145 Zobrazit plný text záznamu