Stereo CSO Detection, Tracking and Object Feature Extraction for SBIRS Low Midcourse Discrimination

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-02-C-0022
Agency Tracking Number: 02-0343
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Alphatech, Inc.
50 Mall Road, Burlington, MA, 01803
DUNS: 094841665
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Herb Landau
 Chief Engineer
 (781) 273-3388
 herb.landau@alphatech.com
Business Contact
 Andrew Mullin
Title: Gen. Cnsl. & Dir. of Cont
Phone: (781) 273-3388
Email: andy.mullin@alphatech.com
Research Institution
N/A
Abstract
"The Space Based Infrared System (SBIRS) is scoped to provide timely and accurate warning of missile attacks against the United States and Allied forces worldwide. The SBIRS Low component provides information to active defensive systems by detecting andtracking intercontinental, intermediate/medium, and short range ballistic missiles in their boost (TBR), post boost, mid-course and early terminal flight phases. While the SBIRS Low system has the sensitivity to sense the midcourse object complex, it canbe large in number and can overwhelm weapon system targeting capacity. The SBIRS Low system must therefore discriminate the objects and classify the lethal re-entry vehicles prior to targeting.Weapon systems need targeting information as early as possible, but full object separation relative to sensor resolution can occur a significant time after initial bus release. The challenge therefore, is to isolate and extract decoupled multi-objecttemporal features before the objects are resolved by the SBIRS Low sensors. ALPHATECH proposes to design stereo-spatial super-resolution and frequency super-resolution techniques, which will provide the timely features for target classification. Algorithmevaluation will occur in a standalone testbed incorporating threat and sensor models. Model parameters will be provided by the Northrop Grumman component of the Spectrum Astro SBIRS Low team. The proposed technology will help provide BMDO improved situa

* information listed above is at the time of submission.

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