Quadrature filters for maneuvering target tracking

Author

Kumar Singh, Asheesh ; Bhaumik, Sudipta

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol. Patna, Patna, India

fYear

2014

fDate

9-11 May 2014

Firstpage

1

Lastpage

6

Abstract

In this paper, a maneuvering target tracking problem has been solved by using the Guss-Hermite filter (GHF) and sparse-grid Gauss-Hermite filter (SGHF). Univariate Gauss-Hermite quadrature rule is extended for multidimensional systems by using the product rule and the Smolyak´s rule in GHF and SGHF respectively. The SGHF, which is an alternative of GHF reduces the computational burden considerably. The performance of the quadrature filters have been compared with the cubature Kalman filter (CKF), and the unscented Kalman filter (UKF) for the maneuvering target tracking problem. The simulation results exhibit the improvement of performance with the quadrature filters compared to the CKF and the UKF.

Keywords

Kalman filters; integration; multidimensional systems; target tracking; CKF; SGHF; Smolyak rule; UKF; cubature Kalman filter; maneuvering target tracking problem; multidimensional system; product rule; quadrature filter; sparse-grid Gauss-Hermite filter; univariate Gauss-Hermite quadrature rule; unscented Kalman filter; Accuracy; Conferences; Equations; Kalman filters; Mathematical model; Target tracking; Technological innovation; Gauss-Hermite quadrature rule; Maneuvering target tracking; Product rule; Smolyak´s rule;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances and Innovations in Engineering (ICRAIE), 2014

Conference_Location

Jaipur

Print_ISBN

978-1-4799-4041-7

Type

conf

DOI

10.1109/ICRAIE.2014.6909118

Filename

6909118