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Algorithm Development and Experimental Verification for Target Discrimination…

Award Information

Department of Defense
Missile Defense Agency
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Upstate Scientific
207 Winchester Dr New Hartford, NY -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: Algorithm Development and Experimental Verification for Target Discrimination and Bulk Filtering of Debris
Agency / Branch: DOD / MDA
Contract: HQ0147-13-C-7522
Award Amount: $99,855.00


The response of an object to a burst of electromagnetic energy consists of an early-time skin response (radar cross section or RCS) and late-time (target resonance or TR) returns. Measurements of these target characteristics may be integrated and exploited in the signal/data processor for suppression of non-threating targets such as debris and decoys, all prior to dedicated track processing, threat target discrimination/identification, intercept, and post intercept surveillance and track for damage assessment. The proposed program exploits and compares these two unique algorithmic approaches - target resonances (TRs) and radar cross-section covariance (CSC). Both of these approaches are based upon the underlying physics of electromagnetic (EM) scattering from exo-atmospheric objects: 1.) The TR frequency (or frequencies) of a resonant object depends directly on its shape and electrical size, 2.) For symmetrical objects (re-entry vehicles or RVs) a strong resonance occurs when the object size is exactly an integral number of wavelengths, 3.) Resonance frequencies are only function of the target shape and are aspect-angle independent, 4.) Signal amplitude of a TR frequency is only mildly aspect-angle dependent, 5.) For non-symmetrical objects, resonances are very low in amplitude (a significant indicator of the non-threating nature of the object.

Principal Investigator:

Richard Schneible
Senior Research Engineer
(315) 527-2052

Business Contact:

Alyssa Sadallah
(315) 527-2052
Small Business Information at Submission:

Upstate Scientific
207 Winchester Dr New Hartford, NY -

EIN/Tax ID: 452477406
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No