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Robust Kalman filter with confidence degree in INS/GPS integrated navigation

  • Qian Xi Pan
  • , Long Zhao*
  • , Chang Yun Zhang
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

In the situation of abnormal GPS signal in INS/GPS integrated navigation, a robust Kalman filter was designed. In this algorithm, prediction residual statistics is used to determine abnormal observations on the base of reliable motion model. Under a certain degree of confidence, when the exception was detected, the corresponding covariance matrix of observations was expanded. So the reliability of the measurements was reduced and the precision of the filter is improved. The simulation results prove that the algorithm is validity and reliability.

Original languageEnglish
Pages (from-to)436-440
Number of pages5
JournalZhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
Volume42
Issue numberSUPPL. 1
StatePublished - Sep 2011

Keywords

  • Degree of confidence
  • INS/GPS integrated navigaiton
  • Kalman filter
  • Prediction residual error

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