Extended H Filter for Tracking a Ballistic Object with Unknown Ballistic coefficient Ã\x9f

Author

Saha, Manika ; Ghosh, Ratna ; Goswami, Bhaswati

Author_Institution

Jadavpur Univ., Kolkata

fYear

2006

fDate

15-17 Dec. 2006

Firstpage

1083

Lastpage

1086

Abstract

The aim of this work is to track a ballistic object with unknown ballistic coefficient beta. A one dimensional free falling ballistic object which is characterized, besides kinematics, by unknown ballistic coefficient, has been considered. An extended H_infin filter (EH_infinF), which is well-known for its robustness property, has been used. Its performance has been compared with extended Kalman filter (EKF) and Cramer Rao lower bound (CRLB). The RMSE plots for individual target states along with unknown ballistic coefficient have been used for the comparison. It has been observed that without providing actual information of process and measurement noise covariances Q and R as well as improper filter initialization, EH_infinF (due to its robustness property) outperforms EKF.

Keywords

H^infin control; Kalman filters; ballistics; military systems; target tracking; Cramer Rao lower bound; ballistic object tracking; extended H_infin filter; extended Kalman filter; free falling ballistic object; unknown ballistic coefficient beta; Information filtering; Information filters; Kinematics; Motion measurement; Noise measurement; Nonlinear filters; Q measurement; Radar tracking; Robustness; Target tracking; Ballistic Target tracking; Ballistic coefficient; Estimation; Extended H filter; Filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2006. ICIT 2006. IEEE International Conference on

Conference_Location

Mumbai

Print_ISBN

1-4244-0726-5

Electronic_ISBN

1-4244-0726-5

Type

conf

DOI

10.1109/ICIT.2006.372310

Filename

4237632