Constrained two-stage Kalman filter for target tracking

Author

Khabbazi, Mohammad-Reza ; Esfanjani, Reza Mahboobi

Author_Institution

Electr. Eng. Dept., Sahand Univ. of Technol., Tabriz, Iran

fYear

2014

fDate

29-30 Oct. 2014

Firstpage

393

Lastpage

397

Abstract

This note investigates the problem of state estimation for an uncertain linear system with a priori known information in the form of equality constraints. System projection idea is employed to develop a robust two-stage Kalman filter satisfying state constraints. The proposed method is utilized to solve the target tracking problem. Simulation results illustrate that the proposed two-stage filter outperforms the standard constrained Kalman filter.

Keywords

Kalman filters; state estimation; target tracking; a priori known information; constrained two-stage Kalman filter; equality constraints; robust two-stage Kalman filter; state constraints; state estimation; system projection; target tracking; uncertain linear system; Covariance matrices; Equations; Filtering theory; Kalman filters; State estimation; Kalman filter; modeling uncertainty; projection method; state constraint;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Knowledge Engineering (ICCKE), 2014 4th International eConference on

Conference_Location

Mashhad

Print_ISBN

978-1-4799-5486-5

Type

conf

DOI

10.1109/ICCKE.2014.6993432

Filename

6993432

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1777063