Detection of Outliers in TWSTFT Data Used in TAI

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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA517919

Entities

People

  • A. Harmegnies
  • E. F. Arias
  • G. Panfilo

Organizations

  • International Bureau of Weights and Measures

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Data Sets
  • Detection
  • Estimators
  • Filters
  • Filtration
  • Frequency
  • Intervals
  • Ku Band
  • Observation
  • Residuals
  • Standards
  • Time Intervals
  • Triangles
  • X Band

Readers

  • Positioning, Navigation, and Timing (PNT) Technology.
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects