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Sensor Architectures for Radar Combat Identification

Award Information

Department of Defense
Air Force
Award ID:
Program Year/Program:
2007 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Spectra Research, Inc.
2790 Indian Ripple Road Russ Research Center Dayton, OH -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2007
Title: Sensor Architectures for Radar Combat Identification
Agency / Branch: DOD / USAF
Contract: FA8650-07-M-1138
Award Amount: $99,921.00


Advanced radar signature modeling and signal processing techniques are required to support evolving radar technology in non-cooperative target recognition (NCTR). Modeling to produce NCTR techniques in both air-air and air-ground radar modes are required. The proposed research will first utilize the radar target modeling capability at Spectra Research and Georgia Institute of Technology to generate math models of the detection of targets with wide band signals typical of high resolution radar (HRR). Target models will be developed in the context of the radar technology known to be used for target detection and subsequent NCTR by radar manufacturers. Analytical models of radar implementation parameters such as calibration and alignment will then be statistically characterized and their functionality to handle target motion and signature visibility determined. Finally, radar signature signal processing will be defined that will optimize radar performance for target recognition and identification for NCTR, over the gamut of radar typed identified. Our goal for the models and target signatures developed will be a completely portable data set for use by all radar manufacturers. Imbedded in X-Patch, these universal signature models will enable sensor optimization within a specific radar system and also benchmarking of different systems for valid comparison.

Principal Investigator:

James Riddell
Principal Engineer

Business Contact:

Jerry V. Capozzi
President / COO
Small Business Information at Submission:

2790 Indian Ripple Road, Russ Research Center Dayton, OH 45440

EIN/Tax ID: 311289035
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No