Asset Pairing for Battle Management

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$149,938.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
HQ0147-13-C-7378
Award Id:
n/a
Agency Tracking Number:
B122-004-0103
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-004
Solicitation Number:
2012.2
Small Business Information
4035 Chris Drive, Suite C, Huntsville, AL, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
122515708
Principal Investigator:
Mike Flaherty
Principle Investigator
(256) 319-6000
mike.flaherty@torchtechnologies.com
Business Contact:
Kenneth Lones
Director of Contracts
(256) 319-6019
kenneth.lones@torchtechnologies.com
Research Institution:
Stub




Abstract
Torch proposes an innovative fusion of key technologies associated with an optimized asset pairing of BMDS sensors and weapon systems supporting enhanced interceptor utilization in complex multi-raid and multi-target environments. An optimized Sensor/Weapon Asset Pairing (SWAP) via a paired resource management process can provide for considerable BMDS performance enhancements and improved weapon system utilization, especially reduced interceptor leakage. SWAP algorithms and data fusion will seek to optimize Sensor Resource and Weapons Management in a synergistic fashion via a clear and logical definition of sensor and weapon constraints. Torch has chosen to make sensor constraint definition and processing a key focus of our Phase I real-time SWAP architecture via the incorporation of"Rule Based Constraint Satisfaction Programming"(RBCSP) logic within an information theoretic resource assignment process. The Torch approach leverages our significant experience with regard to the development of MDA SBIR funded real-time network based data fusion architectures for BMD. Our Phase I work plan focuses on the implementation and demonstration of a prototype real-time SWAP architecture via sensor, weapon, system, and feature based performance models coupled with highly efficient constraint based assignment algorithms in a network feedback parallel processing architecture.

* information listed above is at the time of submission.

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