Robust Adaptive Spatial-Temporal Algorithms for Clutter Rejection and Scene Stabilization

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$747,115.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
FA8718-04-C-0059
Agency Tracking Number:
031-0159
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ADVANCED SCIENCE & NOVEL TECHNOLO
28119 Ridgefern Court, Rancho Palos Verdes, CA, 90275
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
114422095
Principal Investigator:
Alexander Tartakovsky
Vice President of Researc
(310) 377-6029
tartakov@adsantec.com
Business Contact:
Vladimir Katzman
President
(310) 377-6029
katzman@adsantec.com
Research Institution:
n/a
Abstract
The problem of efficient clutter suppression is a challenge for space-based infrared sensors that have to provide early detection/tracking of missiles launches in cloud solar backgrounds. In such systems, reliable target tracking is impossible without clutter rejection down to/below the level of sensor noise. In Phase I we developed novel parametric and nonparametric spatial-temporal techniques for clutter rejection and image stabilization as well as clutter simulation tools for simulation of backgrounds for various conditions. As we have demonstrated in Phase I, our spatial-temporal methods are particularly efficient for target detection/tracking in difficult scenarios when spatial-only filters completely fail. The Phase II proposal is geared towards improving performance of the clutter filtering and jitter compensation algorithms; development of a bank of clutter suppression/stabilization filters with outlier compensation and an adaptive reconfigurable architecture; target detection/tracking algorithms; and testing/demonstrating the capabilities of the developed technology in realistic environments. The developed software imbedded into a GUI interface will constitute a powerful tool for the optimization of operational target detection/tracking systems in conditions of interest. These software tools will be also capable of predicting the performance and reducing to a minimum the time needed to search for an optimal system configuration in MDA programs/systems.

* information listed above is at the time of submission.

Agency Micro-sites

US Flag An Official Website of the United States Government