Resource Optimization for Battle Management

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,993.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
HQ0006-10-C-7416
Award Id:
97009
Agency Tracking Number:
B093-026-0321
Solicitation Year:
n/a
Solicitation Topic Code:
MDA 09-026
Solicitation Number:
n/a
Small Business Information
4850 Hahns Peak Drive, Suite 200, Loveland, CO, 80538
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Bret Kragel
Research Scientist
(970) 461-2000
bret.kragel@numerica.us
Business Contact:
Jeff Poore
President
(970) 461-2000
jeff.poore@numerica.us
Research Institution:
n/a
Abstract
Resource optimization for battle management in ballistic missile defense requires the determination of both the optimal allocation and optimal employment of sensors and weapons against threat launches. This becomes especially difficult for threats in ascent phase, where the class of potential algorithms is restricted by severe time and information constraints. In this proposal, we focus on the allocation problem, also known as weapon-target assignment (WTA). The objective of WTA is to maximize the surviving value of targeted assets, while maintaining a sufficient weapon inventory to conduct operations against expected future threats. We propose to solve this problem with a fast optimization-based approach that uses decision theory to provide an optimal assignment of weapons systems to threats given a particular set of interceptor constraints, threat properties, and dynamic engagement geometry. This algorithm is intended to operate in either a centralized environment or a distributed environment and will augment the information available to the C2BMC operator for making engagement decisions. The value of our optimization-based approach to battle management will be demonstrated during Phase I using Monte Carlo simulation of representative missile defense scenarios.

* information listed above is at the time of submission.

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