Detection of Outliers in TWSTFT Data Used In TAI

A. Harmegnies, G. Panfilo, and E. F. Arias

Abstract:	This paper describes a new filtering technique used to detect and eliminate outlying data in two-way satellite time and frequency transfer (TWSTFT) time links. In the case of TWSTFT data used to calculate International Atomic Time (TAI), three main problems have to be considered: 1. the difficulty of recognizing outliers from useful data; 2. the need to avoid deleting useful data; 3. that TWSTFT links can show an underlying slope which renders the standard treatment more difficult. Using phase and frequency filtering techniques, a new way of detecting outliers, while avoiding detection of useful data, has been developed and implemented at the BIPM to clean TWSTFT data.
Published in:	Proceedings of the 41st Annual Precise Time and Time Interval Systems and Applications Meeting November 16 - 19, 2009 Hyatt Regency Tamaya Resort Santa Ana Pueblo, New Mexico
Pages:	421 - 432
Cite this article:	Harmegnies, A., Panfilo, G., Arias, E. F., "Detection of Outliers in TWSTFT Data Used In TAI," Proceedings of the 41st Annual Precise Time and Time Interval Systems and Applications Meeting, Santa Ana Pueblo, New Mexico, November 2009, pp. 421-432.
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In