Some results on Kalman filtering with linear equality state constraints

Chaoyang Jiang*, Yong An Zhang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper addresses the estimation problem for linear system with linear equality state constraints. We review the existing state projection method and present a simple way to find the optimal filter gain of the constrained Kalman filter. Then, we transform the constrained system into a reduced-order model and construct a reduced-order Kalman filter for this estimation problem. Next, we discuss the properties and error covariance matrices of different estimates. Finally, a vehicle tracking example is provided to compare the effectiveness of these estimators.

Original languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages1006-1011
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 21 Jun 201123 Jun 2011

Publication series

NameProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Conference

Conference2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/TerritoryChina
CityBeijing
Period21/06/1123/06/11

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