Multiple Sensor Tracking for SBIRS Low in Cooperation with Signal Processing

Period of Performance: 01/28/2003 - 07/28/2003

$69.8K

Phase 1 SBIR

Recipient Firm

Numerica Corp.
5024 Technology Parkway Array
Fort Collins, CO 80528
Principal Investigator

Abstract

Tracking midcourse objects for SBIRS Low is a truly significant and difficult scientific problem that must be solved to provide a consistent set of tracks to discrimination. For the space based IR sensors, the resolution is limited due to the geometry and distance from the satellite to the targets. Viewed on the focal plane for a single IR sensor, the threats appear to transition from an unresolved phase involving pixel clusters into a mostly resolved phase through a possibly long partially unresolved phase. What is more, threats can appear in different resolution phases at the same time for different sensors. These resolution problems make multi-sensor tracking most difficult. A key observation in the proposed solution is that what may appear to be a large cluster from one sensor's view may be multiple resolved objects or small clusters from another's sensor's view. Thus, the proposed approach to supplying discrimination with a set of tracks consisting of resolved objects or small clusters is to use the fusion node information to assist signal processing with breaking larger clusters into a number of smaller clusters or resolved objects consistent with the need of multi-sensor tracking. State-of-the-art multi-sensor missile tracking system for SBIRS-Low and other IR tracking systems. Advance methodologies to integrate tracking and signal processing to improve overall performance of developed missile defense systems. High potential to modernize the tracking system used on SBIRS Low satellites.