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

Award Information

Agency:
Department of Defense 		Branch:
Missile Defense Agency 		Award ID:
64333 		Program Year/Program:
2004 / SBIR
Agency Tracking Number:
031-0159 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Advanced Science and Novel Technology
27 Via Porto Grande Rancho Palos Verdes, CA 90275-7848
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2004
Title: Robust Adaptive Spatial-Temporal Algorithms for Clutter Rejection and Scene Stabilization
Agency / Branch: DOD / MDA
Contract: FA8718-04-C-0059
Award Amount: $747,115.00
 

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.

Principal Investigator:

Alexander Tartakovsky
Vice President of Researc
3103776029
tartakov@adsantec.com

Business Contact:

Vladimir Katzman
President
3103776029
katzman@adsantec.com
Small Business Information at Submission:

ADVANCED SCIENCE & NOVEL TECHNOLO
28119 Ridgefern Court Rancho Palos Verdes, CA 90275

EIN/Tax ID: 383654319
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No