Environmentally-Driven Signal Processing Technology for Overland Height Finding

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F30602-03-C-0134
Agency Tracking Number: 021SN-1322
Amount: $1,345,750.00
Phase: Phase II
Program: SBIR
Awards Year: 2004
Solicitation Year: 2002
Solicitation Topic Code: AF02-219
Solicitation Number: 2002.1
Small Business Information
11400 West Olympic Blvd., Suite 300, Los Angeles, CA, 90064
DUNS: 053885604
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Richard DiDomizio
 (203) 268-1249
Business Contact
 Robert Graziano
Phone: (203) 268-1249
Email: rgraziano@tsc.com
Research Institution
Existing techniques for overland height finding against slow, low-flying air targets may not be compatible with the antenna configurations of emerging and future airborne surveillance radar systems. For example, both monopulse and space-time adaptive processing (STAP) have traditionally been based on monolithic, planar arrays, rather than on the conformal arrays of Sensor Craft or the sparse, volume arrays formed by a cluster of microsatellites or small UAVs. Additionally, existing techniques have failed to exploit the interaction of the target with its electromagnetic environment by incorporating auxiliary sources of knowledge such as DTED and LU/LC. Terrain exploitation, Prony's method of array processing, and stereoscopic radar processing are three new and innovative concepts that overcome many of the limitations of more traditional overland height-finding methods. These techniques were shown to be feasible during the Phase I effort. To facilitate the transition of these techniques into operational and future air surveillance systems, the Phase II effort will demonstrate and minimize the sensitivity of the three height-finding techniques to real-world effects, including errors in the environmental knowledge that is being exploited. The final sensitivities will be used to prepare hardware and software specifications for the algorithms. Specific air surveillance systems with which the techniques are compatible will be identified. The techniques will be optimized for these systems and performance will be validated by processing sets of high fidelity synthetic data, which will be used in lieu of recorded radar data.

* information listed above is at the time of submission.

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