UDUT continuous-discrete unscented kalman filtering

  • Lv Shaolin*
  • , Chen Jiabin
  • , Liu Zhide
  • *Corresponding author for this work

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

Abstract

In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.

Original languageEnglish
Title of host publicationProceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Pages876-879
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, China
Duration: 21 Dec 200822 Dec 2008

Publication series

NameProceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Volume2

Conference

Conference2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Country/TerritoryChina
CityShanghai
Period21/12/0822/12/08

Fingerprint

Dive into the research topics of 'UDUT continuous-discrete unscented kalman filtering'. Together they form a unique fingerprint.

Cite this