Correction of systematic error by extended Kalman filter

Feng Yue*, Taogeng Zhou, Qun Hao, Dingguo Sha

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The prevalence of systematic errors is a particularly compelling reason to follow the methodology advocated here, because that approach features parallel treatment of systematic errors and parameters of the measured object. The EKF method was applied to estimate the systematic errors in measurement observations and the interested parameters of the measured object simultaneously. The simulation studies show that the method can correct the most part of systematic error in observation data when the systematic error only consists of fixed error and linear excursion error by applying the EKF method.

Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
EditorsT. Jiubin, W. Xianfang, T. Jiubin, W. Xianfang
Pages3/195-3/199
Publication statusPublished - 2002
EventProceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China
Duration: 18 Aug 200222 Aug 2002

Publication series

NameProceedings of the Second International Symposium on Instrumentation Science and Technology
Volume3

Conference

ConferenceProceedings of the second International Symposium on Instrumentation Science and Technology
Country/TerritoryChina
CityJinan
Period18/08/0222/08/02

Keywords

  • Correction
  • EKF
  • Measurement
  • Orbit decision
  • Systematic error

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