Ballistic Roll Estimation using EKF Frequency Tracking and Adaptive Noise Cancellation

Author

Allik, Bethany ; Ilg, Mark ; Zurakowski, Ryan

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA

Volume

49

Issue

4

fYear

2013

fDate

Oct-13

Firstpage

2546

Lastpage

2553

Abstract

We present an attitude estimation method for self-guided ballistic munitions from onboard magnetometers. An adaptive feedback filter is used to remove actuator-induced magnetic disturbances whose spectrum overlaps the signal of interest. A state-augmented extended Kalman filter (EKF) is used to estimate roll rate and sensor bias from the filtered data. Experimental results demonstrate that this method is able to accurately estimate the roll without phase delay inherent in other methods.

Keywords

adaptive Kalman filters; ballistics; magnetometers; nonlinear filters; EKF frequency tracking; actuator-induced magnetic disturbances removal; adaptive feedback filter; adaptive noise cancellation; attitude estimation method; ballistic roll estimation; onboard magnetometers; roll rate; self-guided ballistic munitions; sensor bias; state-augmented extended Kalman filter; Estimation; Frequency estimation; Kalman filters; Magnetic separation; Magnetometers; Mathematical model; Noise;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/TAES.2013.6621835

Filename

6621835