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Model-Based Identification of Moving Time Critical Targets using Wideband…

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2003 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
6 New England Executive Park Burlington, MA 01803
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2003
Title: Model-Based Identification of Moving Time Critical Targets using Wideband Signal Processing
Agency / Branch: DOD / USAF
Contract: F33615-03-M-1535
Award Amount: $100,000.00


A broad range of surveillance technologies is required for the successful prosecution of time-critical targets (TCTs). These technologies include detection, tracking, identification (ID), sensor resource management (SRM), and battle damage assessment.For mobile missile launcher TCTs (e.g. SCUD TELs), ID is a critical component because these targets remain in deep hide for most of their life cycle. During Phase I, we will develop new model-based approaches for identifying moving TCTs. We focus onmoving TCTs as opposed to stationary TCTs for three reasons: (1) there are more opportunities to identify these targets while they are moving than while they are stationary, (2) stationary ID may be too late to prevent launch, and (3) early ID is animportant input to SRM. We will apply and extend our existing clutter cancellation and STAP algorithms to extract signatures from real phase-history data (MTFP experiments) and will leverage our current model-based algorithms for stationary targets(MSTAR) to develop new model-based moving-target ID algorithms. We will perform a thorough parametric evaluation of these algorithms using real phase-history data and we will emulate current and near-term operational sensors by appropriately modifying thebandwidth, coherent processing interval, and signal-to-noise ratio of the MTFP phase-history data. The technology developed under this program will contribute directly to the overall military objective of identifying advanced time critical targets. Inaddition, model-based moving-target identification is directly applicable to other moving ground targets as well as airborne targets. We anticipate that moving-target identification methods could be used in peacetime applications such as treaty complianceassessment and monitoring. Moreover, these techniques could be used for disease detection and diagnosis in modern medical imagery, including tomographic radiography (CAT scans) and magnetic resonance imagery (MRI).

Principal Investigator:

Gregory J. Owirka
Lead Research Engineer

Business Contact:

John J. Barry
Contracts Manager
Small Business Information at Submission:

6 New England Executive Park Burlington, MA 01803

EIN/Tax ID: 042654515
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No