DocumentCode
425536
Title
Bayesian statistical approaches to tracking through turbulence
Author
Fitzpatrick, Ben ; McCanless, Sarah ; Wang, Yun
Author_Institution
Dept. of Math., Loyola Marymount Univ., Los Angeles, CA, USA
Volume
2
fYear
2004
fDate
June 30 2004-July 2 2004
Firstpage
1499
Abstract
We describe two Bayesian approaches for tracking through turbulence. The problem considered involves an extended target actively illuminated with several lasers. The returned imagery is used to infer atmospheric tilt. The main application of this technology is the control of a steering mirror, which is used to point a laser weapon at the target. Several model-based approaches are examined, including an optical transfer function model and a tilted reference image model.
Keywords
Bayes methods; military systems; optical tracking; optical transfer function; target tracking; weapons; Bayesian statistical method; laser weapon; optical transfer function model; steering mirror control; tilted reference image model;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2004. Proceedings of the 2004
Conference_Location
Boston, MA, USA
ISSN
0743-1619
Print_ISBN
0-7803-8335-4
Type
conf
Filename
1386788
Link To Document