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
fDate :
June 30 2004-July 2 2004
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;
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-8335-4
