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AESA-based RADAR Performance in Complex Sensor Environments

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
77030
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
N062-123-0651
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Lambda Science, Inc.
P.O. Box 238 Wayne, PA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: AESA-based RADAR Performance in Complex Sensor Environments
Agency / Branch: DOD / NAVY
Contract: N68335-08-C-0136
Award Amount: $600,000.00
 

Abstract:

Many current United States Navy (USN) OPSIT/TACSIT scenarios comprise demanding dynamic environments for airborne sensors. The ability to task or mode interleave with adaptive scheduling is essential to achieving desired sensor/mission effectiveness. Both active electronically scanned array (AESA) and conventional mechanically scanned antenna (MSA) airborne multi-mode radar systems will require energy timeline resource management to realize their full performance capabilities. Furthermore, the programmable nature of many modern AESA based sensor architectures allows real-time modification of antenna pattern and waveform characteristics. Real-time adaptive optimization of AESA control and scheduling over the implicitly large number of degrees of freedom is computationally impractical without sufficient constraints. In contrast, non-adaptive legacy resource management approaches rely exclusively on rule-based constrained methodologies that relax computational concerns, but significantly under utilize radar energy timeline resources. Recent real-time computer systems research in optimum scheduling in complex dynamic environments has produced computationally efficient approximate solutions that are attractive for use with rule-based constraints. LSI proposes to develop and evaluate hybrid rule-based constrained optimization techniques for real-time adaptive optimization of airborne AESA and MSA control and scheduling. These techniques will apply to airborne AESA and MSA radar systems of interest to the USN and address both air-to-air and air-to-ground operation.

Principal Investigator:

Joseph J. Schanne
Senior Systems Engineer
6105817940
jjschanne@lamsci.com

Business Contact:

Joseph G. Teti. Sr.
Vice President
6105817940
jteti@lamsci.com
Small Business Information at Submission:

LAMBDA SCIENCE, INC.
P.O. Box 238 Wayne, PA 19087

EIN/Tax ID: 232805792
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No