A ballistic filter for GPS and accelerometer measurements / by Andrew A. Thompson.

Format:

Book

Government document

Author/Creator:

Thompson, Andrew A.

Contributor:

U.S. Army Research Laboratory

Series:

ARL-TR (Aberdeen Proving Ground, Md.) ; 5144.

ARL-TR ; 5144

Language:

English

Subjects (All):

Trajectories (Mechanics).

Kalman filtering.

Physical Description:

1 online resource (iv, 38 pages) : color illustrations.

Place of Publication:

Aberdeen Proving Ground, MD : Army Research Laboratory, [2010]

Summary:

This report extends the work of Andrew A. Thompson described in the report titled Ballistics Filtering, ARL-TR-4735, published in March 2009, by showing the process of realizing the ideas through a simulation. By providing a concrete example it is hoped other realizations of the ideas can be pursued with a reasonable effort. Ballistic Filtering describes the dynamic equations that can be used to form Extended Kalman Filters (EKF) for the estimation of a projectile's trajectory. The steps associated with initialization and implementing an EKF are demonstrated through a specific task. The performance of an EKF processing Global Positioning System (GPS) observations is compared to the performance of an EKF processing both GPS and axial accelerometer observations.

Notes:

Title from title screen (viewed on Mar. 31, 2011).

"April 2010."

OCLC:

710807785

Access Restriction:

APPROVED FOR PUBLIC RELEASE.